Laura Painton Swiler

Computing Research

Author profile picture

Computing Research

lpswile@sandia.gov

(505) 844-8093

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1318

Biography

Laura has worked at Sandia since 1995. She is currently a distinguished member of technical staff in the optimization and uncertainty quantification department. Laura’s research interests include uncertainty quantification for computational models, calibration of model parameters, sensitivity analysis, and model selection. Laura is a developer on the Dakota team: she develops and implements algorithms in the Dakota software project.

Education

Laura earned a B.S. in Applied Mathematics Yale in 1987 and a M.S. in Operations Research from Stanford in 1989. She was a Dept. of Energy Computational Science Graduate Fellow at Carnegie Mellon from 1992-94, earning her Ph.D. in Engineering and Public Policy in 1995. Her dissertation was on combinatorial optimization under uncertainty with applications to design reliability problems. Laura worked at AT&T Bell Laboratories from 1987-91.

Publications

Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere, (2022). Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Document ID: 1585192

Teresa Portone, Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Mariah Lee Smith, Emily Stein, (2022). Discrete fracture network modeling and uncertainty analysis in Geologic Disposal Safety Assessment Framework AGU Fall Meeting 2022 Document ID: 1584823

Joseph Lee Hart, Mamikon Gulian, Indu Manickam, Laura Painton Swiler, (2022). Facilitating Atmospheric Source Inversion via Operator Regression SIAM Conference on Mathematics of Planet Earth Document ID: 1563153

Jamie Thorpe, Laura Painton Swiler, Thomas D. Tarman, Seth Terence Hanson, Gerardo Cruz, Bert Debusschere, Trevor Rollins, (2022). Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Document ID: 1562880

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 3rd International Discrete Fracture Network Engineering Conference Document ID: 1551505

Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems ANS 2022 International High Level Radioactive Waste Management Meeting Document ID: 1551631

Bert Debusschere, Daniel Thomas Seidl, Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository International High-Level Radioactive Waste Management Conference Document ID: 1551402

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics 2022 International High-Level Radioactive Waste Management Conference Document ID: 1551466

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 3rd International Discrete Fracture Network Engineering Conference Document ID: 1551536

Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey Glatter, Emma Savannah Johnson, She?ifa Punla-Green, (2022). Uncertainty Quantification within SECURE LDRD CIS Research Foundation External Review Document ID: 1551270

Mamikon Gulian, Joseph Lee Hart, Indu Manickam, Laura Painton Swiler, (2022). Facilitating Atmospheric Source Inversion via Deep Operator Network Surrogates Esco 2022 Document ID: 1550971

Bert Debusschere, Timothy M. Berg, Daniel Thomas Seidl, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository DOE Computational Research Leadership Council (CRLC) Seminar Series Document ID: 1540286

Kara J. Peterson, Diana L Bull, Irina Kalashnikova Tezaur, Lyndsay Shand, Laura Painton Swiler, (2022). CLDERA: A Novel Foundational Approach for Attributing Climate Impacts 8th European Seminar on Computing Document ID: 1540316

Dusty Marie Brooks, Laura Painton Swiler, (2022). SNL Crystalline Reference Case JOSA Virtual Meeting Document ID: 1528815

Brian Homer Adams, William (SNL) Bohnhoff, Keith (SNL) Dalbey, Mohamed (SNL) Ebeida, John (SNL) Eddy, Michael (SNL) Eldred, Russell (SNL) Hooper, Patricia (SNL) Hough, Kenneth (SNL) Hu, John (SNL) Jakeman, Mohammad (SNL) Khalil, Kathryn (SNL) Maupin, Jason A. Monschke, Elliott (SNL) Ridgway, Ahmad (SNL) Rushdi, Daniel (SNL) Seidl, John (SNL) Stephens, Laura Painton Swiler, Anh Tran, Justin (SNL) Winokur, (2022). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 User’s Manual https://www.osti.gov/search/identifier:1868142 Document ID: 1527831

Laura Painton Swiler, (2022). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA Spent Fuel and Waste Science Technology (SFWST) Annual Program Review Document ID: 1517375

Dusty Marie Brooks, Laura Painton Swiler, (2022). Sensitivity analysis to identify important inputs and output quantities Spent Fuel and Waste Science Technology (SFWST) Annual Program Review 2022 Document ID: 1517376

Asmeret Bier Naugle, Adam Russell, Kiran Lakkaraju, Laura Painton Swiler, Stephen Joseph Verzi, Vicente J. Romero, (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods Computational and Mathematical Organization Theory Document ID: 1492901

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 3rd International Discrete Fracture Network Engineering Conference Document ID: 1493946

Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosie Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Tim Berg, (2022). Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository Society of Industrial and Applied Mathematics(SIAM) Conference on Uncertainty Quantification Document ID: 1494220

Asmeret Bier Naugle, Daniel Joseph Krofcheck, Christina E. Warrender, Kiran Lakkaraju, Laura Painton Swiler, Stephen Joseph Verzi, Benjamin Freixas Emery, Angela Michelle Murdock, Michael Lewis Bernard, Vicente J. Romero, (2022). What Can Simulation Test Beds Teach Us About Social Science? Results of the Ground Truth Program Computational and Mathematical Organization Theory https://www.osti.gov/search/identifier:1870475 Document ID: 1492899

Bert Debusschere, Timothy M. Berg, Daniel Thomas Seidl, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository 2022 International High Level Radioactive Waste Management Conference Document ID: 1493003

Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere, (2022). WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics Cyber-Physical Systems Virtual Organization Hot Topics in the Science of Security (HoTSoS) Document ID: 1493103

Dusty Marie Brooks, Laura Painton Swiler, Paul Mariner, Teresa Portone, Eduardo Basurto, Rosemary Claire Leone, (2022). Sensitivity and uncertainty analysis of FMD model choice for a generic crystalline repository International High Level Radioactive Waste Management Conference (part of 2022 American Nuclear Society Annual meeting) Document ID: 1492945

Paul Mariner, Eduardo Basurto, Dusty Marie Brooks, Rosemary Claire Leone, Teresa Portone, Laura Painton Swiler, (2022). Advanced Use of Tracers in Repository Performance Assessment Modeling 2022 International High-Level Radioactive Waste Management Conference Document ID: 1492982

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics 2022 International High Level Radioactive Waste Management Conference Document ID: 1482386

Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems 2022 International High Level Radioactive Waste Management Conference Document ID: 1482390

Laura Painton Swiler, (2022). Metamodelling sensitivity approaches versus regression and graphical methods on the basis of Geologic Cases: An International Collaboration Sensitivity Analysis of Model Output Document ID: 1482006

Diana L Bull, Kara J. Peterson, Irina Kalashnikova Tezaur, Lyndsay Shand, Laura Painton Swiler, (2022). CLDERA. CCIS Lightning Talks Community Climate Intervention Strategies Webinar Series Document ID: 1481779

Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere, (2022). WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics Cyber-Physical Systems Virtual Organization Hot Topics in the Science of Security (HoTSoS) Document ID: 1471258

Laura Painton Swiler, (2021). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA Nuclear Waste Technical Review Board Fact Finding Meeting Document ID: 1404274

Mariah Lee Smith, Teresa Portone, Laura Painton Swiler, (2021). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics Sandia National Laboratories Seminar Document ID: 1392873

Laura Painton Swiler, (2021). Verification and Validation for Cyber Emulation Cyber Experimentation Science of Security Document ID: 1391962

Laura Painton Swiler, (2021). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA Nuclear Waste Technical Review Board Meeting Document ID: 1380857

Paul Mariner, Timothy M. Berg, Bert Debusschere, Aubrey Celia Eckert, Jacob Harvey, Tara LaForce, Rosemary Claire Leone, Melissa Marie Mills, Michael Anthony Nole, Heeho Daniel Park, F.V. Perry, Daniel Thomas Seidl, Laura Painton Swiler, Kyung Won Chang, (2021). GDSA Framework Development and Process Model Integration FY2021 https://www.osti.gov/search/identifier:1825056 Document ID: 1368725

Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosemary Claire Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Timothy M. Berg, (2021). Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository SIAM Conference on Uncertainty Quantification (UQ22) Document ID: 1369039

Michael Stickland, Justin Ding-Yuan Li, Laura Painton Swiler, Thomas D. Tarman, (2021). Foundations of Rigorous Cyber Experimentation https://www.osti.gov/search/identifier:1854751 Document ID: 1367418

Laura Painton Swiler, (2021). White paper on Verification and Validation for Cyber Emulation Models https://www.osti.gov/search/identifier:1854720 Document ID: 1368301

Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, She?ifa Punla-Green, (2021). Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report https://www.osti.gov/search/identifier:1821322 Document ID: 1367498

Laura Painton Swiler, Dusty Marie Brooks, (2021). Joint Sensitivity Analysis (JOSA) Exercise Meeting Sept. 21, 2021 Joint Sensitivity Analysis (JOSA) Exercise Document ID: 1367637

Benjamin Moore Wagman, Laura Painton Swiler, Kamaljit Singh Chowdhary, Benjamin Hillman, (2021). The Fingerprints of Stratospheric Aerosol Injection in E3SM https://www.osti.gov/search/identifier:1821542 Document ID: 1357463

Asmeret Bier Naugle, Stephen Joseph Verzi, Kiran Lakkaraju, Laura Painton Swiler, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero, (2021). Feedback Density and Causal Complexity of Simulation Model Structure Journal of Simulation https://www.osti.gov/search/identifier:1828789 Document ID: 1356961

Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, and She?ifa Punla-Green, (2021). Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK https://www.osti.gov/search/identifier:1820527 Document ID: 1357032

Laura Painton Swiler, Dirk-Alexander Becker, Dusty Marie Brooks, Joan Govaerts, Lasse Koskinen, Elmar Plischke, Klaus-Jrgen Rhlig, Elena Saveleva, Sabine M. Spiessl, Emily Stein, Valentina Svitelman, (2021). Sensitivity Analysis Comparisons on Geologic Case Studies: An International Collaboration https://www.osti.gov/search/identifier:1822591 Document ID: 1342702

Mamikon Gulian, Ari Louis Frankel, Laura Painton Swiler, (2021). Gaussian Process Regression constrained by Boundary Value Problems Computer Methods in Applied Mechanics and Engineering https://www.osti.gov/search/identifier:1831157 Document ID: 1355823

Laura Painton Swiler, Dusty Marie Brooks, Emily Stein, Klaus-Jrgen Rhlig, Elmar Plischke, Dirk-Alexander Becker, Sabine M. Spiessl, Lasse Koskinen, Joan Govaerts, Valentina Svitelman, Elena Saveleva., (2021). Metamodelling sensitivity approaches versus regression and graphical methods on the basis of Geologic Cases: An International Collaboration Sensitivity Analysis of Model Output Document ID: 1355733

Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Teresa Portone, Mariah Lee Smith, Emily Stein, (2021). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021) https://www.osti.gov/search/identifier:1855018 Document ID: 1343921

Thomas D. Tarman, Laura Painton Swiler, Eric D. Vugrin, Trevor Rollins, Gerardo Cruz, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis, (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds 14th Workshop on Cyber Security Experimentation and Test (CSET’21) Document ID: 1343275

Teresa Portone, Laura Painton Swiler, Mariah Lee Smith, (2021). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 2021 AGU Fall Meeting Document ID: 1342608

Gianluca Geraci, Laura Painton Swiler, Bert Debusschere, (2021). Multifidelity UQ sampling for Stochastic Simulations 16th US National Congress on Computational Mechanics Document ID: 1332274

Thomas D. Tarman, Laura Painton Swiler, Gerardo Cruz, Eric D. Vugrin, Trevor Rollins, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis, (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds Cyber Security Experimentation and Test Workshop https://www.osti.gov/search/identifier:1876709 Document ID: 1331218

Michael Stickland, Justin Ding-Yuan Li, Thomas D. Tarman, Laura Painton Swiler, (2021). Uncertainty quantification in cyber experimentation CSET 2021 – 14th Cyber Security Experimentation and Test (CSET) Workshop https://www.osti.gov/search/identifier:1867999 Document ID: 1306212

Laura Painton Swiler, (2021). Sensitivity Analysis for the Latest Crystalline Reference Case DOE Spent Fuel and Waste Disposition Annual Program Meeting (virtual) https://www.osti.gov/search/identifier:1868007 Document ID: 1306537

Laura Painton Swiler, Dusty Marie Brooks, (2021). GP and PCE surrogate models for estimation of sensitivity indices Spent Fuel and Waste Disposition Annual Program Meeting (virtual) https://www.osti.gov/search/identifier:1868008 Document ID: 1306538

Thomas D. Tarman, Laura Painton Swiler, Gerardo Cruz, Eric D. Vugrin, Trevor Rollins, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis, (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds Cyber Security Experimentation and Test Workshop https://www.osti.gov/search/identifier:1867995 Document ID: 1306029

Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Craig Hamel, Ari Louis Frankel, Reese E. Jones, Scott A Roberts, Laura Painton Swiler, Kyle Johnson, (2021). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference 2021 – Virtual https://www.osti.gov/search/identifier:1867564 Document ID: 1306308

Laura Painton Swiler, (2021). Statistical Methods used in the Born Qualified LDRD Project Sandia Seminar Series 3D Characterization Community of Practice, https://wp.sandia.gov/3dccop/seminars/ https://www.osti.gov/search/identifier:1863692 Document ID: 1293248

Laura Painton Swiler, (2021). Epistemic Uncertainty: Computation and Usage Virtual Conference on Epistemic Uncertainty in Engineering (note this is an online conference https://www.osti.gov/search/identifier:1855744 Document ID: 1280658

Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler, (2021). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments SIAM Computational Science and Engineering https://www.osti.gov/search/identifier:1847628 Document ID: 1279399

Teresa Portone, Laura Painton Swiler, Gianluca Geraci, Michael S. Eldred, (2021). Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model SIAM Conference on Computational Science and Engineering (CSE21) https://www.osti.gov/search/identifier:1847219 Document ID: 1279295

Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, (2021). Constrained Gaussian Processes: A Survey SIAM Computational Science and Engineering Conference 2021 https://www.osti.gov/search/identifier:1847480 Document ID: 1268757

Laura Painton Swiler, (2021). Epistemic Uncertainty: Computation and Usage Virtual Conference on Epistemic Uncertainty in Engineering, University of Liverpool https://www.osti.gov/search/identifier:1845192 Document ID: 1268253

Gianluca Geraci, Laura Painton Swiler, Bert Debusschere, (2021). Multifidelity UQ sampling for stochastic simulations 16th U.S. National Congress on Computational Mechanics Document ID: 1267959

Gianluca Geraci, Jonathan Crussell, Laura Painton Swiler, Bert Debusschere, (2021). Exploration of multifidelity UQ sampling strategies for computer network applications International Journal for Uncertainty Quantification https://www.osti.gov/search/identifier:1765751 Document ID: 1267517

Laura Painton Swiler, (2021). Uncertainty Analysis of a Medical Resource Demand Model COVID-19 Summit 2 https://www.osti.gov/search/identifier:1841815 Document ID: 1256154

Laura Painton Swiler, Sarah Newman, Andrea Staid, Emily Barrett, (2021). Dakota-NAERM Integration https://www.osti.gov/search/identifier:1762833 Document ID: 1255566

Laura Painton Swiler, (2021). Uncertainty and Sensitivity Analysis Overview Spent Fuel and Waste Disposition (SFWD) Telecommuting Seminar Series https://www.osti.gov/search/identifier:1840824 Document ID: 1255195

Kathryn Anne Maupin, Laura Painton Swiler, (2020). Model Discrepancy Calibration and Propagation Across Experimental Settings World Congress on Computational Mechanics https://www.osti.gov/search/identifier:1833158 Document ID: 1242872

Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Craig Hamel, Ari Louis Frankel, Reese E. Jones, Scott Alan Roberts, Laura Painton Swiler, Kyle Johnson, (2020). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference Document ID: 1231574

Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Journal of Machine Learning for Modeling and Computing https://www.osti.gov/search/identifier:1691455 Document ID: 1209606

Benjamin Freixas Emery, Andrea Staid, Laura Painton Swiler, (2020). Sensitivity and Uncertainty Analysis of Generator Failures under Extreme Temperature Scenarios in Power Systems https://www.osti.gov/search/identifier:1808746 Document ID: 1209201

Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Paul Mariner, Teresa Portone, Emily Stein, (2020). Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework https://www.osti.gov/search/identifier:1671381 Document ID: 1208891

Paul Mariner, Michael Anthony Nole, Eduardo Basurto, Timothy M. Berg, Kyung Won Chang, Bert Debusschere, Aubrey Celia Eckert, Mohamed Salah Ebeida, Michael Benjamin Gross, Glenn Hammond, Jacob Harvey, Spencer Holloran Jordan, Kristopher L Kuhlman, Tara LaForce, Rosemary Claire Leone, William C. McLendon, Melissa Marie Mills, Heeho Daniel Park, Frank Vinton Perry, Alex Salazar, Daniel Thomas Seidl, Sevougian David, Emily Stein, Laura Painton Swiler, (2020). Advances in GDSA Framework Development and Process Model Integration https://www.osti.gov/search/identifier:1671380 Document ID: 1208725

Erin Acquesta, Laura Painton Swiler, Ali Pinar, (2020). Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations https://www.osti.gov/search/identifier:1673455 Document ID: 1196383

Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler, (2020). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments Siam Conference on Computational Science and Engineering Document ID: 1207574

Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, John Davis Jakeman, Cosmin Safta, (2020). LDRD Project Summary: Incorporating physical constraints into Gaussian process surrogate models https://www.osti.gov/search/identifier:1668928 Document ID: 1196386

Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, (2020). Application of multifidelity UQ approaches to a subsurface transport model SIAM Conference on Computational Science and Engineering (CSE21) Document ID: 1196073

Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, (2020). Constrained Gaussian Processes: A Survey SIAM Computational Science and Engineering 2021 Document ID: 1196004

Mamikon Gulian, Laura Painton Swiler, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges PhILMs Webinar https://www.osti.gov/search/identifier:1814448 Document ID: 1184835

Nathan Wayne Porter, Kathryn Anne Maupin, Laura Painton Swiler, Vincent Andrew Mousseau, (2020). Validation Metrics for Fixed Effects and Mixed-Effects Calibration Journal of Verification, Validation and Uncertainty Quantification https://www.osti.gov/search/identifier:1769907 Document ID: 1183358

Mamikon Gulian, Laura Painton Swiler, Ari Louis Frankel, John Davis Jakeman, Cosmin Safta, (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Sandia Machine Learning and Deep Learning Workshop Skip to end of banner https://www.osti.gov/search/identifier:1812282 Document ID: 1183629

Mamikon Gulian, Laura Painton Swiler, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Machine Learning and Deep Learning Conference (Sandia Audience) Document ID: 1162165

Sean DeRosa, Patrick D. Finley, Melissa Finley, Walter Eugene Beyeler, Daniel Joseph Krofcheck, Christopher Rawls Frazier, Laura Painton Swiler, Teresa Portone, Erin Acquesta, Paula Austin, Drew Levin, Robert A. Taylor, Katherine Dorothy Tremba, Monear Makvandi, Ann Hammer, Chad E. Davis, (2020). COVID-19 Medical Resource Demands DOE Presentation https://www.osti.gov/search/identifier:1807655 Document ID: 1161312

Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, (2020). A Survey of Constrained Gaussian Process: Approaches and Implementation Challenges Journal of Machine Learning for Modeling and Computing https://www.osti.gov/search/identifier:1725870 Document ID: 1127442

Laura Painton Swiler, Teresa Portone, (2020). Uncertainty Analysis of a COVID-19 Medical Resource Model Martians Summer student talk https://www.osti.gov/search/identifier:1807392 Document ID: 1139662

Walter Eugene Beyeler, Christopher Rawls Frazier, Daniel Joseph Krofcheck, Laura Painton Swiler, Teresa Portone, Katherine A. Klise, (2020). Uncertainty Analysis Framework for the Hospital Resource Supply Model for Covid-19 https://www.osti.gov/search/identifier:1763544 Document ID: 1128430

Ari Louis Frankel, Reese E. Jones, Laura Painton Swiler, (2020). Tensor Basis Gaussian Process Models of Hyperelastic Materials Journal of Machine Learning for Modeling and Computing https://www.osti.gov/search/identifier:1668364 Document ID: 1128495

Keith Dalbey, Michael S. Eldred, Gianluca Geraci, John Davis Jakeman, Kathryn Anne Maupin, Jason A. Monschke, Daniel Thomas Seidl, Laura Painton Swiler, Anh Tran, Friedrich Menhorn, Xiaoshu Zeng, (2020). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.12 Theory Manual https://www.osti.gov/search/identifier:1630693 Document ID: 1127943

Brian M. Adams, William J. Bohnhoff, Keith Dalbey, Mohamed Salah Ebeida, John P. Eddy, Michael S. Eldred, Russell Hooper, Patricia D. Hough, Kenneth Hu, John Davis Jakeman, Mohammad Khalil, Kathryn Anne Maupin, Jason A. Monschke, Elliott Marshall Ridgway, Ahmad Rushdi, Daniel Thomas Seidl, John Adam Stephens, Laura Painton Swiler, Justin Winokur, (2020). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.12 User?s Manual https://www.osti.gov/search/identifier:1630694 Document ID: 1127946

Walter Eugene Beyeler, Christopher Rawls Frazier, Laura Painton Swiler, Teresa Portone, Daniel Joseph Krofcheck, (2020). Treatment Model Design and Use DOE-OE Covid-19 Response Project https://www.osti.gov/search/identifier:1783073 Document ID: 1127872

Laura Painton Swiler, Teresa Portone, Walter Eugene Beyeler, (2020). Uncertainty analysis of Resource Demand Model for Covid-19 https://www.osti.gov/search/identifier:1630395 Document ID: 1127602

Kathryn Anne Maupin, Laura Painton Swiler, (2020). Model discrepancy calibration across experimental settings Reliability Engineering and System Safety Document ID: 1126989

Anh Tran, John A. Mitchell, Laura Painton Swiler, Timothy Michael Wildey, (2020). An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics Acta Materialia https://www.osti.gov/search/identifier:1634790 Document ID: 1126840

Kathryn Anne Maupin, Laura Painton Swiler, (2020). Calibration, Propagation, and Validation of Model Discrepancy Across Experimental Settings SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1769563 Document ID: 1103511

Teresa Portone, John Henry Judah Niederhaus, Jason James Sanchez, Laura Painton Swiler, (2020). Bayesian model selection for metal yield models in high-velocity impact International Journal of Impact Engineering Document ID: 1079092

Ari Louis Frankel, Laura Painton Swiler, Reese E. Jones, (2019). Tensor Basis Gaussian Process Models of Hyperelastic Materials arXiv https://www.osti.gov/search/identifier:1670720 Document ID: 1078517

Kathryn Anne Maupin, Laura Painton Swiler, (2019). Model Discrepancy Calibration and Propagation Across Experimental Settings 14th World Congress on Computational Mechanics Document ID: 1067716

Nathan Heckman, Thomas Ivanoff, Ashley [UCSB] Roach, Bradley Howell Jared, Daniel Joseph Tung, Todd Huber, David J. Saiz, Joshua Robert Koepke, Jeffrey Rodelas, Jonathan D Madison, Bradley Salzbrenner, Laura Painton Swiler, Reese E. Jones, Brad Boyce, (2019). The utility of automated high-throughput tensile testing to reveal stochastic process parameter sensitivity Materials Science and Engineering A https://www.osti.gov/search/identifier:1581976 Document ID: 1055920

Laura Painton Swiler, Jon C. Helton, Eduardo Basurto, Dusty Marie Brooks, Paul Mariner, Leslie Melissa Moore, Sitakanta NMN Mohanty, Stephen David Sevougian, Emily Stein, (2019). Status Report on Uncertainty Quantification and Sensitivity Analysis Tools in the Geologic Disposal Safety Assessment (GDSA) Framework https://www.osti.gov/search/identifier:1574263 Document ID: 1033569

Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Robert Waymel, Enrico C. Quintana, Reese E. Jones, Scott Alan Roberts, Justin T Newcomer, David John Stracuzzi, Laura Painton Swiler, (2019). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories NSF Workshop on Applications of Machine Learning to Experimental Mechanics and Materials https://www.osti.gov/search/identifier:1643105 Document ID: 1055191

Paul Mariner, Bert Debusschere, James Jerden, Daniel Thomas Seidl, Laura Painton Swiler, Jonathan Vo, (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment DECOVALEX 2019 Symposium https://www.osti.gov/search/identifier:1643084 Document ID: 1054987

Ali Pinar, Zachary O. Benz, Andrea R Castillo, William Eugene Hart, Laura Painton Swiler, Thomas D. Tarman, (2019). SECURE: An Evidence-based Approach to Cyber Experimentation IEEE Resilience Week https://www.osti.gov/search/identifier:1643057 Document ID: 1054371

D-A Becker, Dusty Marie Brooks, J Govaerts, L Koskinen, S Kucherenko, P Kupiainen, Paul Mariner, B Pastina, E Plischke, K-J Rohlig, Stephen David Sevougian, S Spiessl, Emily Stein, Laura Painton Swiler, E Weetjens, (2019). A Joint Exercise on Sensitivity Analysis in Repository Performance Assessment Samo2019 https://www.osti.gov/search/identifier:1642988 Document ID: 1054134

Laura Painton Swiler, Gianluca Geraci, Bert Debusschere, Jonathan Crussell, (2019). Uncertainty Quantification in Cyber Emulation Informs https://www.osti.gov/search/identifier:1642954 Document ID: 1033435

Paul Mariner, Laura A. Connolly, Leigh Cunningham, Bert Debusschere, David Charles Dobson, Jennifer M Frederick, Glenn Edward Hammond, Spencer Holloran Jordan, Tara LaForce, Michael Anthony Nole, Heeho Daniel Park, Frank Vinton Perry, Ralph David Rogers, Daniel Thomas Seidl, Stephen David Sevougian, Emily Stein, Peter N. Swift, Laura Painton Swiler, Jonathan Vo, Michael Gary Wallace, (2019). Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010 https://www.osti.gov/search/identifier:1570094 Document ID: 1032089

Kathryn Anne Maupin, Laura Painton Swiler, (2019). Calibration, Propagation, and Validation of Model Discrepancy Across Experimental Settings SIAM Conference on Uncertainty Quantification Document ID: 1031706

Laura Painton Swiler, (2019). Gaussian Process Models Uncertainty Quantification Summer School https://www.osti.gov/search/identifier:1641657 Document ID: 997235

Asmeret Bier Naugle, Kiran Lakkaraju, Vamshi Balanaga, Christina E. Warrender, Stephen Joseph Verzi, Michael Livesay, Laura Painton Swiler, (2019). AComplexity-Focused Framework for Comparing and Evaluating Social Simulations MITRE Step Workshop on Complexity https://www.osti.gov/search/identifier:1645756 Document ID: 998116

Brian M. Adams, Shawn D. Pautz, Donald Eugene Bruss, Brian C. Franke, Ethan Blansett, Laura Painton Swiler, (2019). Adjoint-enabled Robust Radiation Shield Design 15th U.S. National Congress on Computational Mechanics https://www.osti.gov/search/identifier:1641509 Document ID: 996678

Aaron Tallman, Krzysztof Stopka, Laura Painton Swiler, Yan Wang, Surya Kalidindi, David McDowell, (2019). Gaussian Process Driven Adaptive Sampling for Reduced Order Modeling of Texture Effects in Polycrystalline Alpha-Ti The Journal of the Minerals, Metals, and Materials Society (JOM) https://www.osti.gov/search/identifier:1570220 Document ID: 997169

John A. Mitchell, Thomas Ivanoff, Daryl Dagel, Bradley Howell Jared, Joshua Robert Koepke, David J. Saiz, Laura Painton Swiler, (2019). Linking pyrometry to porosity in additive manufactured metals Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1641333 Document ID: 996557

Brian T. Lester, Adam Cook, Harlan James Brown-Shaklee, Laura Painton Swiler, Joseph E. Bishop, (2019). Image-Based Modeling of Ceramic Additive Manufacturing 15th U.S. National Congress on Computational Mechanics https://www.osti.gov/search/identifier:1641323 Document ID: 996631

Asmeret Bier Naugle, Laura Painton Swiler, Kiran Lakkaraju, Stephen Joseph Verzi, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero, (2019). Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams International System Dynamics Conference https://www.osti.gov/search/identifier:1641241 Document ID: 986223

Gianluca Geraci, Laura Painton Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration of multifidelity approaches for uncertainty quantification in network applications 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP2019) https://www.osti.gov/search/identifier:1640865 Document ID: 974075

Paul Mariner, Laura Painton Swiler, Daniel Thomas Seidl, Jonathan Vo, (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment DECOVALEX 2019 Symposium https://www.osti.gov/search/identifier:1640670 Document ID: 973411

Laura Painton Swiler, Michael Stickland, Thomas D. Tarman, (2019). Design of Experiments for Cyber Experimentation The 12th USENIX Workshop on Cyber Security Experimentation and Test (CSET ’19) https://www.osti.gov/search/identifier:1640123 Document ID: 971815

Eduardo Basurto, Dusty Marie Brooks, Laura Painton Swiler, Paul Mariner, (2019). Advances in Sensitivity Analysis for the Crystalline Reference Case Spent Fuel & Waste Disposition Annual Working Group Meeting 2019 https://www.osti.gov/search/identifier:1648819 Document ID: 971939

Paul Mariner, Daniel Thomas Seidl, Laura Painton Swiler, Bert Debusschere, Jonathan Vo, Jim Jerden, Jennifer M Frederick, (2019). Surrogate Modeling of Fuel Dissolution Spent Fuel and Waste Disposition (SFWD) Annual Working Group Meeting https://www.osti.gov/search/identifier:1648825 Document ID: 971786

Teresa Portone, John Henry Judah Niederhaus, Laura Painton Swiler, (2019). Extended abstract: Bayesian model selection for metal yield models in high-velocity impact Hypervelocity Impact Symposium 2019 https://www.osti.gov/search/identifier:1640078 Document ID: 961692

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2019). Methods of Sensitivity Analysis in Geologic Disposal Safety Assessment (GDSA) Framework Ihlrwm https://www.osti.gov/search/identifier:1639712 Document ID: 949530

Bradley Howell Jared, Brad Boyce, Jonathan D Madison, Jeffrey Rodelas, David J. Saiz, Joshua Robert Koepke, Todd Huber, Thomas Ivanoff, Bradley Salzbrenner, Burke Lloyd Kernen, David G. Moore, Laura Painton Swiler, (2019). The Influence of Defects on the Performance of 316L Stainless Steel from Metal L-PBF DOE/NNSA AM Workshop https://www.osti.gov/search/identifier:1648746 Document ID: 949366

R. Allen Roach, Bradley Howell Jared, Brad Boyce, Jeremy B. Lechman, Mario Alberto Martinez, Eric Christopher Forrest, Samantha Taylor, Amber Lynn Dagel, Jonathan D Madison, Thomas Ivanoff, Joshua Robert Koepke, Laura Painton Swiler, Bart G van Bloemen Waanders, Brett W. Clark, Theron Rodgers, Kyle Johnson, (2019). Overview of Sandia’s Born Qualified Project 6th Annual UTC Additive Manufacturing Conference https://www.osti.gov/search/identifier:1644903 Document ID: 949376

Kiran Lakkaraju, Asmeret Bier Naugle, Stephen Joseph Verzi, Laura Painton Swiler, Michael Livesay, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero, (2019). Complexity metrics for Agent Based Models of Social Systems The 20th International Workshop on Multi-Agent-Based Simulation https://www.osti.gov/search/identifier:1639730 Document ID: 948957

Teresa (UT Austin) Portone, John Henry Judah Niederhaus, Jason James Sanchez, Laura Painton Swiler, (2019). Bayesian model selection for metal yield models in high-velocity impact Hypervelocity Impact Symposium https://www.osti.gov/search/identifier:1639803 Document ID: 948422

Dirk-Alexander Becker, Emily Stein, Dusty Marie Brooks, Joan Govaerts, Lasse Koskinen, Sergei Kucherenko, Paul Mariner, Barbara Pastina, Elmar Plischke, Klaus-Jurgen Rohlig, Stephen David Sevougian, Sabine Spiessl, Laura Painton Swiler, Eef Weetjens, (2019). A Joint Exercise on Sensitivity Analysis in Repository Performance Assessment Samo Document ID: 948726

Gianluca Geraci, Laura Painton Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration Of Multifidelity Approaches For Uncertainty Quantification In Network Applications 3rd Eccomas Thematic Conference on Uncertainty Quantification in Computational Science and Engineering https://www.osti.gov/search/identifier:1639529 Document ID: 937500

Jonathan D Madison, Daryl Dagel, Thomas Ivanoff, Bradley Howell Jared, Joshua Robert Koepke, John A. Mitchell, David J. Saiz, Laura Painton Swiler, (2019). Defect Signatures for Metal Laser Powder-Bed Fusion Tms 2019 https://www.osti.gov/search/identifier:1639421 Document ID: 936366

Bradley Howell Jared, Jonathan D Madison, Thomas Ivanoff, Laura Painton Swiler, David J. Saiz, Daryl Dagel, John A. Mitchell, Joshua Robert Koepke, (2019). Defect Detection in Metal Additive Manufacturing Through Application of In-Situ Diagnostics Tms https://www.osti.gov/search/identifier:1639391 Document ID: 936508

Laura Painton Swiler, Bert Debusschere, Gianluca Geraci, Jonathan Crussell, (2019). SECURE Uncertainty Quantification Thrust External Advisory Board meeting, SECURE Grand Challenge https://www.osti.gov/search/identifier:1644470 Document ID: 936122

Gianluca Geraci, Laura Painton Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration of multifidelity UQ strategies for network applications LDRD SECURE Grand Challenge External Advisory Board meeting https://www.osti.gov/search/identifier:1644472 Document ID: 936124

Paul Mariner, Laura Painton Swiler, Daniel Thomas Seidl, Bert Debusschere, Johnathan Vo, Jennifer M Frederick, (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance 2019 International High Level Radioactive Waste Management Conference https://www.osti.gov/search/identifier:1639277 Document ID: 936065

Paul Mariner, Laura Painton Swiler, Daniel Thomas Seidl, Bert Debusschere, Johnathan Vo, Jennifer M Frederick, (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance 2019 International High Level Radioactive Waste Management Conference https://www.osti.gov/search/identifier:1602117 Document ID: 924977

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2019). Methods Of Sensitivity Analysis In Geologic Disposal Safety Assessment (gdsa) Framework Ihlrwm https://www.osti.gov/search/identifier:1601750 Document ID: 925065

Kathryn Anne Maupin, Laura Painton Swiler, (2019). Calibration, Propagation, and Validation of Model Discrepancy Across Experiments SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1639186 Document ID: 914255

Brian T. Lester, Adam Cook, Harlan James Brown-Shaklee, Laura Painton Swiler, Joseph E. Bishop, (2019). Image-Based Modeling of Ceramic Additive Manufacturing 15th US National Congress on Computational Mechanics (USNCCM) Document ID: 913755

Scott A. Mitchell, Patrick Knupp, A. Abdelkader, M. M. Awad, C Bajaj, M. Deakin, Mohamed Salah Ebeida, D. Engwirda, A. Mahmoud, D. Manocha, S. Mousley McKay, J. Owens, C. Park, A. Patney, A. Rushdi, Laura Painton Swiler, L Wei, (2019). Primal-Dual Mesh Optimization with Mathematical Foundations 2019 ASCR Applied Mathematics Principal Investigators (PI) Meeting https://www.osti.gov/search/identifier:1596418 Document ID: 913181

Scott A. Mitchell, Patrick Knupp, A. Abdelkader, M. M. Awad, C Bajaj, M. Deakin, Mohamed Salah Ebeida, D. Engwirda, A. Mahmoud, D. Manocha, S. Mousley McKay, J. Owens, C. Park, A. Patney, A. Rushdi, Laura Painton Swiler, L Wei, (2019). Primal-Dual Mesh Optimization with Mathematical Foundations 2019 ASCR Applied Mathematics Principal Investigators (PI) Meeting Document ID: 913182

Kathryn Anne Maupin, Kathryn Anne Maupin, Laura Painton Swiler, Laura Painton Swiler, Nathan Porter, Nathan Porter, (2019). Validation Metrics for Deterministic and Probabilistic Data Journal of Verification, Validation and Uncertainty Quantification https://www.osti.gov/search/identifier:1496637 Document ID: 913201

Scott A. Mitchell, Patrick Knupp, A. Abdelkader, M. M. Awad, C Bajaj, M. Deakin, Mohamed Salah Ebeida, D. Engwirda, A. Mahmoud, D. Manocha, S. Mousley McKay, J. Owens, C. Park, A. Patney, A. Rushdi, Laura Painton Swiler, L Wei, (2019). Primal-Dual Mesh Optimization with Mathematical Foundations 2019 ASCR Applied Mathematics Principal Investigators (PI) Meeting https://www.osti.gov/search/identifier:1596226 Document ID: 913180

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). GDSA Shale Reference Case: Uncertainty Propagation and Sensitivity Analysis with Dakota INER Visit https://www.osti.gov/search/identifier:1761097 Document ID: 900578

Thomas Ivanoff, Jonathan D Madison, Sharlotte LorraineBolyard Kramer, Laura Painton Swiler, Bradley Howell Jared, (2018). Three-dimensional Characterization of AM Porosity and Correlation to Mechanical Performance Sandia National Laboratories 12th Annual Postdoctoral Technical Showcase https://www.osti.gov/search/identifier:1806907 Document ID: 889120

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). Comparison of Probabilistic Sensitivity Analysis Methods Applied to a 3-D Reference Case Performance Assessment Dataset from GDSA Framework Interagency P&RA CoP 2018 Annual Technical Exchange Meeting https://www.osti.gov/search/identifier:1592668 Document ID: 888579

Robert J. Kuether, Brooke Marie Allensworth, Adam Backer, Elton Y Chen, Remi Philippe Michel Dingreville, Eric Christopher Forrest, Robert Knepper, Alexander S. Tappan, Michael P. Marquez, Jonathan George Vasiliauskas, Stephen George Rupper, Michael James Grant, Lauren Claire Atencio, Tyler John Hipple, Danae Maria Maes, Jerilyn A. Timlin, Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso, Timothy J. Draelos, Thushara Gunda, Otoniel Venezuela, Wesley Alexander Brooks, Stephen Michael Anthony, Bryan Carson, Michael Johnathan Reeves, Matthew Roach, Erin Maines, Judith Maria Lavin, Shaun R Whetten, Laura Painton Swiler, (2018). Posters for AA/CE Reception AA/CE Reception https://www.osti.gov/search/identifier:1592652 Document ID: 888328

Thomas Ivanoff, Jonathan D Madison, Joshua Robert Koepke, Erich Swaller, Bradley Howell Jared, John A. Mitchell, Laura Painton Swiler, (2018). 3D Registration of Structure, Melt Pool History and Design in AM 316L Stainless Steel Materials Science and Technology 2018 Document ID: 877526

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). Methods of Sensitivity Analysis in Geologic Disposal Safety Assessment (GDSA) Framework Ihlrwm 2019 Document ID: 877608

Paul Mariner, Laura Painton Swiler, Jennifer M Frederick, (2018). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance International High-Level Radioactive Waste Management (IHLRWM) Conference https://www.osti.gov/search/identifier:1593061 Document ID: 877530

Laura Painton Swiler, Bart G van Bloemen Waanders, Bradley Howell Jared, Joshua Robert Koepke, Shaun R Whetten, Jonathan D Madison, Thomas Ivanoff, Olivia De’Haven Underwood Jackson, Adam Cook, Harlan James Brown-Shaklee, Daniel Kammler, Kyle Johnson, Kurtis Ross Ford, Joseph E. Bishop, R. Allen Roach, (2018). Data Analysis for the Born Qualified Grand LDRD Project https://www.osti.gov/search/identifier:1481602 Document ID: 865260

R. Allen Roach, Nicolas Argibay, Kyle Matthew Allen, Dorian K. Balch, Lauren L. Beghini, Joseph E. Bishop, Brad Boyce, Judith Alice Brown, Ross L. Burchard, Michael E. Chandross, Adam Cook, Christopher DiAntonio, Amber Dawn Dressler, Eric Christopher Forrest, Kurtis Ross Ford, Thomas Ivanoff, Bradley Howell Jared, Kyle Johnson, Daniel Kammler, Joshua Robert Koepke, Andrew Kustas, Judith Maria Lavin, Nicholas Leathe, Brian T. Lester, Jonathan D Madison, Seethambal S. Mani, Mario J. Martinez, Daniel Moser, Theron Rodgers, Daniel Thomas Seidl, Harlan James Brown-Shaklee, Joshua Stanford, Michael Stender, Joshua Daniel Sugar, Laura Painton Swiler, Samantha Taylor, Bradley Trembacki, (2018). Born Qualified Grand Challenge LDRD Final Report https://www.osti.gov/search/identifier:1481619 Document ID: 875668

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale IGSC Safety Case Symposium https://www.osti.gov/search/identifier:1594335 Document ID: 876436

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). Sensitivity Analysis of Dessel Dataset with SNL’s Dakota International Sensitivity Analysis Benchmark Collaboration https://www.osti.gov/search/identifier:1594648 Document ID: 876475

Stephen David Sevougian, Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). Higher-order SIs and Interactions based on PCE (using Dakota) International SA-UQ Workshop 2018 https://www.osti.gov/search/identifier:1594665 Document ID: 876533

Klaus-Jurgen Rohlig, Elmar Plischke, Dirk-Alexander Becker, Emily Stein, Joan Govaerts, Bert Debusschere, Lasse Koskinen, Pekka Kupiainen, Christi D. Leigh, Paul Mariner, Olli Nummi, Barbara Pastina, Stephen David Sevougian, Sabine Spiessl, Laura Painton Swiler, Eef Weetjens, Todd Zeitler, (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach International Group for the Safety Case Symposium https://www.osti.gov/search/identifier:1806880 Document ID: 876077

Klaus-Jurgen Rohlig, Elmar Plischke, Dirk-Alexander Becker, Emily Stein, Joan Govaerts, Bert Debusschere, Lasse Koskinen, Pekka Kupiainen, Christi D. Leigh, Paul Mariner, Olli Nummi, Barbara Pastina, Stephen David Sevougian, Sabine Spiessl, Laura Painton Swiler, Eef Weetjens, Todd Zeitler, (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach IGSC Safety Case Symposium https://www.osti.gov/search/identifier:1568977 Document ID: 865293

Laura Painton Swiler, Brian M. Adams, William (ORNL) Wieselquist, (2018). Sample Generation for Nuclear Data https://www.osti.gov/search/identifier:1474254 Document ID: 854760

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale IGSC Safety Case Symposium https://www.osti.gov/search/identifier:1592078 Document ID: 855076

Joshua Robert Koepke, Bradley Howell Jared, David J. Saiz, Ryan Hill, Samantha Taylor, Laura Painton Swiler, (2018). Investigating Process Parameters in Laser-Powder Bed Fusion Rio Grande Symposium on Advanced Materials https://www.osti.gov/search/identifier:1592080 Document ID: 865171

Kathryn Anne Maupin, Laura Painton Swiler, (2018). Calibration, Propagation, and Validation of Model Discrepancy Across Experiments SIAM Conference on Computational Science and Engineering Document ID: 854373

Laura Painton Swiler, (2018). Panel on Materials SAMSI Model Uncertainty: Mathematical and Statistical (MUMS) Workshop NSF Statistical and Mathematical Sciences Institutes (SAMSI) workshop on Model Uncertainty Statistical and Mathematical https://www.osti.gov/search/identifier:1582191 Document ID: 842936

Thomas Ivanoff, Jonathan D Madison, Joshua Robert Koepke, Bradley Howell Jared, John A. Mitchell, Laura Painton Swiler, (2018). 3D Characterization of Porosity in AM 316L SS and its Effect on Mechanical Behavior Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1806770 Document ID: 842869

Kyle Johnson, Laura Painton Swiler, Theron Rodgers, Bradley Howell Jared, Samuel Ramirez Subia, Kurtis Ross Ford, Michael Stender, Joseph E. Bishop, (2018). Advanced Model Predictions of Mechanical Properties and Process Parameter Effects in High Throughput L-PBF Tension Specimens Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1581944 Document ID: 842692

Bradley Howell Jared, Jonathan D Madison, Jeffrey Rodelas, Daniel Joseph Tung, Laura Painton Swiler, David J. Saiz, Brad Boyce, Joshua Robert Koepke, Todd Huber, Thomas Ivanoff, Nathan Heckman, Harlan James Brown-Shaklee, Burke Lloyd Kernen, (2018). The Influence of Defects on the Performance of 316L Stainless Steel from Metal Laser Powder Bed Fusion Solid Freeform Fabrication https://www.osti.gov/search/identifier:1582145 Document ID: 842801

Thomas Ivanoff, Jonathan D Madison, Joshua Robert Koepke, Bradley Howell Jared, John A. Mitchell, Laura Painton Swiler, (2018). 3D Characterization of Porosity in AM 316L SS and its Effect on Mechanical Behavior Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1582148 Document ID: 842657

Scott A. Mitchell, Mohamed Salah Ebeida, Muhamad A Awad, Chonhyon Park, Anjul Patney, Amad A Rushdi, Laura Painton Swiler, Dinesh Manocha, Li-Yi Wei, (2018). Spoke-Darts for High-Dimensional Blue-Noise Sampling Siggraph 2018 https://www.osti.gov/search/identifier:1581716 Document ID: 841406

Bradley Howell Jared, Jonathan D Madison, Thomas Ivanoff, John A. Mitchell, Erich James Schwaller, Joshua Robert Koepke, David J. Saiz, Daryl Dagel, Harlan James Brown-Shaklee, Laura Painton Swiler, (2018). Defect Signatures for Metal Laser Powder Bed Fusion Solid Freeform Fabrication https://www.osti.gov/search/identifier:1581712 Document ID: 842694

Scott A. Mitchell, Muhammad A. Awad (UC), Mohamed Salah Ebeida, Laura Painton Swiler, (2018). Fast Approximate Union Volume in High Dimensions with Line Samples https://www.osti.gov/search/identifier:1464880 Document ID: 830369

Laura Painton Swiler, (2018). Dakota within the NEAMS Workbench NEAMS Integrated Product Line Review Meeting https://www.osti.gov/search/identifier:1581719 Document ID: 842174

Teresa Portone, John Henry Judah Niederhaus, Jason James Sanchez, Laura Painton Swiler, (2018). Bayesian model selection for metal yield models in high-velocity impact 15th Hypervelocity Impact Symposium Document ID: 841627

Bradley Howell Jared, Jonathan D Madison, Laura Painton Swiler, Thomas Ivanoff, Burke Lloyd Kernen, Jay D. Carroll, Todd Huber, (2018). Defect Detection in Metal Additive Manufacturing Through Application of In-Situ Diagnostics Tms 2019 Document ID: 830900

Asmeret Bier Naugle, Kiran Lakkaraju, Stephen Joseph Verzi, Laura Painton Swiler, Vicente J. Romero, Michael Lewis Bernard, (2018). A Multi-tiered Complexity Metric The Ninth International Conference on Complex Systems (ICCS) 2018 https://www.osti.gov/search/identifier:1570180 Document ID: 830534

John A. Mitchell, Thomas Ivanoff, Daryl Dagel, Bradley Howell Jared, Jonathan D Madison, Laura Painton Swiler, David J. Saiz, Joshua Robert Koepke, (2018). Process analysis of powder bed AM using two color pyrometer data TMS2019148th Annual Meeting and Exhibition Document ID: 830195

R. Allen Roach, Joseph E. Bishop, Kyle Johnson, Theron Rodgers, Brad Boyce, Laura Painton Swiler, Bart G van Bloemen Waanders, Michael E. Chandross, Daniel Kammler, Dorian K. Balch, Bradley Howell Jared, Mario J. Martinez, Nicholas Leathe, Kurtis Ross Ford, (2018). Using additive manufacturing as a pathway to change the qualification paradigm Solid Freeform Fabrication https://www.osti.gov/search/identifier:1532627 Document ID: 819784

Bradley Howell Jared, Jonathan D Madison, Laura Painton Swiler, David J. Saiz, Joshua Robert Koepke, John A. Mitchell, Daryl Dagel, Thomas Ivanoff, (2018). Defect Signatures for Metal Laser Powder Bed Fusion Tms 2019 Document ID: 829921

Bradley Howell Jared, David G. Moore, Sarah Louise Stair, Brad Boyce, Jonathan D Madison, Thomas Ivanoff, Jakob Ostien, Kyle Johnson, Jeffrey Rodelas, Bradley Salzbrenner, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, David J. Saiz, Burke Lloyd Kernen, Elliott Jost, John Carter Miers, (2018). The Impact of Critical Defects on Material Performance and Science-Based Qualification for Metal Laser Powder Bed Fusion The Impact of Critical Defects on Material Performance and Science-based Qualification for Metal Laser Powder Bed Fusion https://www.osti.gov/search/identifier:1532607 Document ID: 829926

Jie Bao, Zhangshuan Hou, Jaideep Ray, Maoyi Huang, Laura Painton Swiler, Huiying Ren, (2018). Soil Moisture Estimation Using Tomographic Ground Penetrating Radar in a MCMC- Bayesian Framework Stochastic Environmental Research and Risk Assessment https://www.osti.gov/search/identifier:1496976 Document ID: 809516

Laura Painton Swiler, Robert (ORNL) Lefebvre, Brandon (ORNL) Langley, Adam (ORNL) Thompson, (2018). The NEAMS Workbench and Dakota: Providing an environment for uncertainty analyses American Nuclear Society Annual Conference 2018 https://www.osti.gov/search/identifier:1527259 Document ID: 808753

Jonathan D Madison, Thomas Ivanoff, Bradley Howell Jared, Laura Painton Swiler, Stephanie DeJong, Brad Boyce, Jeffrey Rodelas, Bradley Salzbrenner, (2018). Aggregate Presence and Impact of 3D Defect Populations In AM Stainless Steel 4th International Congress on 3D Materials Science https://www.osti.gov/search/identifier:1526367 Document ID: 808228

Mohamed Salah Ebeida, Laura Painton Swiler, Eric T. Phipps, Jaideep Ray, (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification https://www.osti.gov/search/identifier:1524960 Document ID: 808057

Scott A. Mitchell, Mohamed Salah Ebeida, Muhamad A Awad, Chonhyon Park, Anjul Patney, Amad A Rushdi, Laura Painton Swiler, Dinesh Manocha, Li-Yi Wei, (2018). Spoke-Darts for High-Dimensional Blue-Noise Sampling ACM Trans. Graph. Document ID: 807388

R. Allen Roach, Joseph E. Bishop, Bradley Howell Jared, David M Keicher, Adam Cook, Shaun R Whetten, Eric Christopher Forrest, Joshua Stanford, Brad Boyce, Kyle Johnson, Theron Rodgers, Kurtis Ross Ford, Mario J. Martinez, Daniel Moser, Bart G van Bloemen Waanders, Michael E. Chandross, Fadi F. Abdeljawad, Kyle Matthew Allen, Michael Stender, Lauren L. Beghini, Laura Painton Swiler, Brian T. Lester, Nicolas Argibay, Harlan James Brown-Shaklee, Andrew Kustas, Joshua Daniel Sugar, Daniel Kammler, Mark Allen Wilson, (2018). Changing the Engineering Design & Qualification Paradigm in Component Design & Manufacturing (Born Qualified) America Makes https://www.osti.gov/search/identifier:1511987 Document ID: 796244

Emily Stein, Laura Painton Swiler, Stephen David Sevougian, (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale IGSC Safety Case Symposium 2018 Document ID: 795823

Kyle Johnson, Laura Painton Swiler, Bradley Howell Jared, Kurtis Ross Ford, Samuel Ramirez Subia, Joseph E. Bishop, (2018). Advanced Model Predictions of Mechanical Properties and Process Parameter Effects in High Throughput L-PBF Tension Specimens Solid Freeform Fabrication Symposium Document ID: 784837

Laura Painton Swiler, Brian M. Adams, (2018). Generating samples from extremely ill-conditioned covariance data 2018 SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1508903 Document ID: 783760

Thomas Ivanoff, Jonathan D Madison, Joshua Robert Koepke, Bradley Howell Jared, John A. Mitchell, Laura Painton Swiler, (2018). Three-Dimensional Characterization of Porosity Defects and their Correlation to Mechanical Properties in AM 316L Stainless Steel Solid Freeform Fabrication Symposium Document ID: 784810

Bradley Howell Jared, Brad Boyce, Jonathan D Madison, Jeffrey Rodelas, Daniel Joseph Tung, Laura Painton Swiler, David J. Saiz, Joshua Robert Koepke, Todd Huber, Thomas Ivanoff, (2018). The Influence of Defects on the Performance of 316L Stainless Steel from Metal Laser Powder Bed Fusion Solid Freeform Fabrication Document ID: 784709

Bradley Howell Jared, Jonathan D Madison, Thomas Ivanoff, John A. Mitchell, Erich James Schwaller, Joshua Robert Koepke, Laura Painton Swiler, David J. Saiz, Daryl Dagel, Harlan James Brown-Shaklee, (2018). Defect Signatures for Metal Laser Powder Bed Fusion Solid Freeform Fabrication Document ID: 784717

Kathryn Anne Maupin, Laura Painton Swiler, (2018). Calibration and Propagation of Model Discrepancy Across Experiments SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1806944 Document ID: 784471

Joshua Robert Koepke, Bradley Howell Jared, David J. Saiz, Erich James Schwaller, Daniel Joseph Tung, Laura Painton Swiler, (2018). Investigating Melt Pool Dynamics in Laser-Bed Powder Fusion Using a Two-Color Pyrometer Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1806940 Document ID: 784474

Thomas Ivanoff, Jonathan D Madison, Joshua Robert Koepke, Erich James Schwaller, Bradley Howell Jared, John A. Mitchell, Laura Painton Swiler, (2018). Three-Dimensional Registration of Part Design, Melt Pool History and Resultant Structure in Additively Manufactured 316L Stainless Steel Materials Science & Technology Technical Meeting and Exhibition 2018 Document ID: 783839

Laura Painton Swiler, Laura Painton Swiler, Kyle Johnson, (2018). Uncertainty Quantification for Additive Manufacturing Applications TMS 2018 Annual Meeting (The Minerals, Metals, and Materials Society) https://www.osti.gov/search/identifier:1502289 Document ID: 772045

Bradley Howell Jared, Joshua Robert Koepke, David J. Saiz, Laura Painton Swiler, John A. Mitchell, Jonathan D Madison, Thomas Ivanoff, Kevin Webb, Jeffrey Rodelas, Erich James Schwaller, (2018). Defect Signatures for Metal Laser Powder Bed Fusion Tms 2018 https://www.osti.gov/search/identifier:1501973 Document ID: 772466

Laura Painton Swiler, (2018). Women in Data Science 2018 Women in Data Science https://www.osti.gov/search/identifier:1498647 Document ID: 761145

Teresa Portone, John Henry Judah Niederhaus, Jason James Sanchez, Laura Painton Swiler, (2018). Application of Bayesian Model Selection for Metal Yield Models using ALEGRA and Dakota https://www.osti.gov/search/identifier:1423930 Document ID: 761130

R. Allen Roach, Bradley Howell Jared, Adam Cook, David M Keicher, Bart G van Bloemen Waanders, Laura Painton Swiler, Daniel Thomas Seidl, Timothy Michael Wildey, Shaun R Whetten, (2018). Born Qualified EAB Telecon BQ EAB Telecon https://www.osti.gov/search/identifier:1514821 Document ID: 739323

Jonathan D Madison, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Stephanie DeJong, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2018). Aggregate Presence and Impact of Three-Dimensional Defect Populations in Additively Manufactured Stainless Steel 4th International Congress on 3D Materials Science Document ID: 738653

Laura Painton Swiler, (2018). Materials Data and Models Across Scales DOE ASCR (Advanced Scientific Computing Research) Scientific Machine Learning Workshop https://www.osti.gov/search/identifier:1806497 Document ID: 749483

Emily Stein, Laura Painton Swiler, Emily Stein, (2018). Dakota applied to GRS mc4096 dataset International Sensitivity Analysis Benchmark working meeting (teleconference) https://www.osti.gov/search/identifier:1806476 Document ID: 749598

Kathryn Anne Maupin, Laura Painton Swiler, (2018). Calibration and Propagation of Model Discrepancy Across Experiments 13th World Congress on Computational Mechanics Document ID: 738425

Jaideep Ray, M Huang, H. Ren, J. Bao, Z. Hou, Laura Painton Swiler, (2017). Multi-chain Markov chain Monte Carlo methods for computationally expensive models American Geophysical Union https://www.osti.gov/search/identifier:1488741 Document ID: 727368

Laura Painton Swiler, (2017). Uncertainty Quantification and Data Science in Materials Applications Materials Research Society Fall 2017 Meeting https://www.osti.gov/search/identifier:1484576 Document ID: 726230

Bradley Howell Jared, Brad Boyce, Jonathan D Madison, Jeffrey Rodelas, Laura Painton Swiler, Jakob Ostien, Bradley Salzbrenner, Olivia De’Haven Underwood Jackson, David J. Saiz, (2017). The Challenges and Consequences of Material Uncertainties in Metal Laser Powder Bed Fusion American Society for Precision Engineering https://www.osti.gov/search/identifier:1480387 Document ID: 724914

Huiying Ren, Jaideep Ray, Z Hou, M Huang, J Bao, Laura Painton Swiler, (2017). Bayesian Inversion of Seismic and Electromagnetic Data for Marine Gas Reservoir Characterization Using Multi-chain Markov Chain Monte Carlo Sampling Journal of Applied Geophysics https://www.osti.gov/search/identifier:1406375 Document ID: 714443

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Calibration and Propagation of Model Discrepancy Across Experiments SIAM Conference on Uncertainty Quantification Document ID: 714402

Laura Painton Swiler, Mohamed Salah Ebeida, Kathryn Anne Maupin, Brian M. Adams, (2017). Adaptive Point Selection for Global Vs. Local Surrogate Models SIAM 2018 Uncertainty Quantification Conference Document ID: 714396

Angel Urbina, Laura Painton Swiler, (2017). Dakota Overview International Modal Analysis Conference XXXVI https://www.osti.gov/search/identifier:1479232 Document ID: 714308

Laura Painton Swiler, Brian M. Adams, William (ORNL) Wieselquist, (2017). Treatment of Nuclear Data Covariance Information in Sample Generation https://www.osti.gov/search/identifier:1398864 Document ID: 672102

Bradley Howell Jared, Brad Boyce, Bradley Salzbrenner, Jeffrey Rodelas, Jonathan D Madison, David J. Saiz, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Jakob Ostien, (2017). The Challenges and Consequences of Material Uncertainties in Metal Laser Powder Bed Fusion American Society for Precision Engineering Document ID: 671986

Laura Painton Swiler, Jaideep Ray, Laura Painton Swiler, Mohamed Salah Ebeida, Maoyi (PNNL) Huang, Zhangshuan (PNNL) Hou, Jie (PNNL) Bao, Huiying (PNNL) Ren, (2017). SAChES: Scalable Adaptive Chain-Ensemble Sampling https://www.osti.gov/search/identifier:1380101 Document ID: 659757

Jonathan D Madison, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Kevin Webb, (2017). Strength of Micro-Computed Tomography as an Indicator of Process History and Estimator of Mechanical Performance in AM Stainless Steel 2017 Annual Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1464898 Document ID: 659751

Bradley Howell Jared, Brad Boyce, Jonathan D Madison, Jakob Ostien, Jeffrey Rodelas, Bradley Salzbrenner, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, David J. Saiz, Kevin Webb, (2017). Critical Defect Signatures and Impacts on Material Performance for Metal Laser Powder Bed Fusion Solid Freeform Fabrication https://www.osti.gov/search/identifier:1464714 Document ID: 659692

Laura Painton Swiler, John Adam Stephens, (2017). UQ Theories, Principles, and Tools: Dakota Topics Quantification of Uncertainty Workshop https://www.osti.gov/search/identifier:1463778 Document ID: 658998

Bradley Howell Jared, Jonathan D Madison, Laura Painton Swiler, David J. Saiz, Kevin Webb, Erich James Schwaller, Joshua Robert Koepke, Burke Lloyd Kernen, Brad Boyce, Jeffrey Rodelas, (2017). Defect Signatures for Metal Laser Powder Bed Fusion Tms 2018 Document ID: 638102

Laura Painton Swiler, Robert A. Lefebvre, Brandon R Langley, Adam B Thompson, (2017). Integration of Dakota into the NEAMS Workbench https://www.osti.gov/search/identifier:1372616 Document ID: 637594

Jonathan D Madison, Olivia De’Haven Underwood Jackson, Laura Painton Swiler, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, Kevin Webb, Carl Lee Jacques, Joseph A Romero, Burke Lloyd Kernen, David G. Moore, (2017). Corroborating Tomographic Defect Metrics with Processing Parameters & Mechanical Response in Metal AM 44th Annual Review of Progress in Quantitative Nondestructive Evaluation Conference (QNDE) https://www.osti.gov/search/identifier:1462531 Document ID: 638110

Laura Painton Swiler, Yan Wang, (2017). Editorial for ASCE-ASME Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems https://www.osti.gov/search/identifier:1399512 Document ID: 637723

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Model Discrepancy Calibration Across Experiments 14th US National Congress on Computational Mechanics https://www.osti.gov/search/identifier:1506918 Document ID: 637911

Laura Painton Swiler, Kyle Johnson, (2017). Uncertainty Quantification for Additive Manufacturing Applications across scales TMS (The Minerals, Metals, and Materials Society) 2018 Annual meeting https://www.osti.gov/search/identifier:1460157 Document ID: 637086

Angel Urbina, Laura Painton Swiler, Michael S. Eldred, Brian M. Adams, (2017). An introduction to the Dakota software International Modal Analysis Conference XXXVI Document ID: 626549

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Validation Metrics Workshop on Multi-Physics Model Validation https://www.osti.gov/search/identifier:1476812 Document ID: 626223

Bradley Salzbrenner, Brad Boyce, Jay D. Carroll, Jeffrey Rodelas, Yu-Lin Shen, Jonathan D Madison, Bradley Howell Jared, Laura Painton Swiler, (2017). High Throughput Stochastic Tensile Performance of Additively Manufactured Stainless Steels Society for Experimental Mechanics https://www.osti.gov/search/identifier:1476779 Document ID: 625796

Laura Painton Swiler, (2017). Data Science and Uncertainty Quantification in Materials Applications MRS 2017 Fall Meeting (Materials Research Society) Document ID: 626134

Jonathan D Madison, Olivia De’Haven Underwood Jackson, Laura Painton Swiler, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Relating Tomographic Defect Metrics to Mechanical Performance in Additively Manufactured Stainless Steel Jowog-39 https://www.osti.gov/search/identifier:1456768 Document ID: 625909

Russell Hooper, Kathryn Anne Maupin, Laura Painton Swiler, Brian (LANL) Williams, Brian M. Adams, Russell Hooper, (2017). DAKOTA Update: Capabilities & Applications CASL VVI Workshop https://www.osti.gov/search/identifier:1458046 Document ID: 624904

Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox, (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering (SCEE) https://www.osti.gov/search/identifier:1367262 Document ID: 624608

Laura Painton Swiler, (2017). Uncertainty Quantification with thoughts on multiscale materials applications Georgia Tech Institute for Materials Lecture https://www.osti.gov/search/identifier:1457979 Document ID: 623236

Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox, (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering https://www.osti.gov/search/identifier:1457926 Document ID: 623823

Jonathan D Madison, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Quantifying Defect Presence in an Additively Manufactured Precipitation Hardened 17-4 Stainless Steel Additive Manufacturing JOWOG https://www.osti.gov/search/identifier:1456658 Document ID: 612958

Laura Painton Swiler, (2017). Uncertainty Quantification with thoughts on multiscale materials applications Georgia Tech Institute for Materials Seminar Document ID: 612574

Bradley Howell Jared, Brad Boyce, Jonathan D Madison, Jeffrey Rodelas, David J. Saiz, Bradley Salzbrenner, Jakob Ostien, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, (2017). Critical Defect Signatures and Impacts on Material Performance for Metal Laser Powder Bed Fusion Solid Freeform Fabrication Document ID: 612477

Shawn D. Pautz, Brian M. Adams, Laura Painton Swiler, Brian C. Franke, Ethan Blansett, (2017). Adjoint-enabled Uncertainty Quantification for Satellite Shield Design M&C 2017 – International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering https://www.osti.gov/search/identifier:1456472 Document ID: 612033

Shawn D. Pautz, Brian C. Franke, Laura Painton Swiler, Brian M. Adams, Ethan Blansett, (2017). Adjoint-Based Sensitivities for Optimization of Satellite Electron/Proton Shields M&C 2017 – International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering https://www.osti.gov/search/identifier:1456470 Document ID: 612034

Jonathan D Madison, Olivia De’Haven Underwood Jackson, Bradley Salzbrenner, Jeffrey Rodelas, Bradley Howell Jared, Laura Painton Swiler, Brad Boyce, Carl Lee Jacques, Joseph A Romero, Burke Lloyd Kernen, David G. Moore, (2017). Relating Tomographic Defect Metrics to Mechanical Performance in Additively Manufactured Stainless Steel 44th Annual Review of Progress in Quantitative Nondestructive Evaluation Document ID: 611518

Jonathan D Madison, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Strength of Micro-Computed Tomography as an Indicator of Process History and Estimator of Mechanical Performance in Additively Manufactured Stainless Steel 28th Annual international Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference Document ID: 611548

Bradley Howell Jared, Brad Boyce, Bradley Salzbrenner, Jeffrey Rodelas, Jonathan D Madison, David J. Saiz, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Jakob Ostien, (2017). The Challenges and Consequences of Material Uncertainties in Metal Laser Powder Bed Fusion American Society for Precision Engineering Document ID: 611261

Laura Painton Swiler, Michael S. Eldred, Brian M. Adams, Laura Painton Swiler, (2017). Dakota Software: Explore and Predict with Confidence Document ID: 610852

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Model Discrepancy Formulations in Dakota SIAM Conference on Computational Science and Engineering Document ID: 529635

Bradley Howell Jared, Brad Boyce, Bradley Salzbrenner, Jeffrey Rodelas, David J. Saiz, Jonathan D Madison, Olivia De’Haven Underwood Jackson, Jakob Ostien, Laura Painton Swiler, (2017). Quantifying Defect Signatures and Impacts on Material Performance in Laser Powder Bed Fusion AM Cross-JOWOG Document ID: 599580

Jonathan D Madison, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Identification of Defect Signatures in an Additively Manufactured Precipitation-Hardened Stainless Steel Tms 2017 https://www.osti.gov/search/identifier:1425307 Document ID: 599586

Brian M. Adams, Shawn D. Pautz, Laura Painton Swiler, Brian C. Franke, Ethan Blansett, Donald Eugene Bruss, (2017). Adjoint-enabled Optimization and UQ for Radiation Shield Design SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1424860 Document ID: 589347

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Model Discrepancy Calibration Across Experiments 14th US National Congress on Computational Mechanics Document ID: 589416

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Model Discrepancy in Dakota SIAM Conference on Computational Science, Engineering and Mathematics https://www.osti.gov/search/identifier:1425297 Document ID: 589398

Eric D. Vugrin, Timothy G. Trucano, Laura Painton Swiler, Patrick D. Finley, Tatiana Paz Flanagan, Asmeret Bier Naugle, Jeffrey Y. Tsao, Stephen Joseph Verzi, (2017). Recommended Research Directions for Improving the Validation of Complex Systems Models https://www.osti.gov/search/identifier:1367494 Document ID: 578040

Kathryn Anne Maupin, Laura Painton Swiler, (2017). Validation Metrics for Deterministic and Probabilistic Data https://www.osti.gov/search/identifier:1494178 Document ID: 564756

Shawn D. Pautz, Brian C. Franke, Brian M. Adams, Laura Painton Swiler, Ethan Blansett, (2017). Adjoint-Based Sensitivities for Optimization of Satellite Electron/Proton Shields M&C 2017 – International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering https://www.osti.gov/search/identifier:1420225 Document ID: 578217

Brad Boyce, Bradley Salzbrenner, Jeffrey Rodelas, Ashley Michelle Roach, Laura Painton Swiler, Jonathan D Madison, Bradley Howell Jared, Yu-Lin Shen, (2017). Extreme-Value Statistics Reveal Rare Failure-Critical Defects in Additive Manufacturing Materials Research Letters https://www.osti.gov/search/identifier:1343622 Document ID: 566599

Jaideep Ray, Laura Painton Swiler, Jie Bao, Zhangshuan Hou, Maoyi Huang, (2016). Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model american geophysical union, fall meeting https://www.osti.gov/search/identifier:1524688 Document ID: 565402

Laura Painton Swiler, Vicente J. Romero, (2016). A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods (Presentation) Joint Army Navy Nasa Air Force (JANNAF) 11th Modeling and Simulation Subcommittee Meeting https://www.osti.gov/search/identifier:1412084 Document ID: 554569

Brian M. Adams, Kayla Coleman, Russell Hooper, Bassam A. Khuwaileh, Allison Lewis, Ralph C. Smith, Laura Painton Swiler, Paul J. Turinsky, Brian W. Williams, (2016). User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota https://www.osti.gov/search/identifier:1338015 Document ID: 531380

Olivia De’Haven Underwood Jackson, Jonathan D Madison, Christopher Finfrock, Laura Painton Swiler, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2016). Correlating Defect Populations with Mechanical Performance in AM Tensile Samples of PH 17-4 Born Qualified Grand Challenge External Advisory Board Meeting https://www.osti.gov/search/identifier:1404795 Document ID: 531873

Bradley Salzbrenner, Brad Boyce, Jeffrey Rodelas, Yu-Lin Shen, Jonathan D Madison, Bradley Howell Jared, Laura Painton Swiler, (2016). High-Throughput Stocastic Tensile Performance of Additively Manufactured Stainless Steels Society for Experimental Mechanics Document ID: 532200

Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox, (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering https://www.osti.gov/search/identifier:1398359 Document ID: 531207

Eric R. Keiter, Laura Painton Swiler, Thomas V. Russo, Ian Zachary Wilcox, (2016). Sensitivity Analysis in Xyce https://www.osti.gov/search/identifier:1562422 Document ID: 530446

Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox, (2016). Advanced Uncertainty Quantification Methods for Circuit Simulation: Final Report, LDRD 2016-0845 https://www.osti.gov/search/identifier:1562425 Document ID: 530512

Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox, (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering https://www.osti.gov/search/identifier:1504833 Document ID: 530301

Brian M. Adams, Shawn D. Pautz, Laura Painton Swiler, Brian C. Franke, (2016). Adjoint-enabled Optimization and UQ for Radiation Shield Design SIAM Conference on Computational Science and Engineering Document ID: 529602

Eric R. Keiter, Laura Painton Swiler, Ian Zachary Wilcox, (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation 11th International Conference on Scientific Computing in Electrical Engineering Document ID: 529220

Jeffrey Y. Tsao, Timothy G. Trucano, Stephen D. Kleban, Asmeret Bier Naugle, Stephen Joseph Verzi, Laura Painton Swiler, Curtis Martin Johnson, Mark A. Smith, Tatiana Paz Flanagan, Eric D. Vugrin, Kasimir Georg Gabert, Matthew Samuel Lave, Wei Chen (Northwestern), Daniel DeLaurentis (Purdue), Alfred Hubler (Univerisity of Illinois at Urbana Champagne), Bill Oberkampf (WLO Consulting), (2016). CSVVUQ Workshop Footprint_20160728 https://www.osti.gov/search/identifier:1431458 Document ID: 517888

Brad Boyce, Bradley Salzbrenner, Jeffrey Rodelas, Jonathan D Madison, Bradley Howell Jared, Laura Painton Swiler, Yu-Lin Shen, (2016). High-throughput Stochastic Tensile Performance of Additively Manufactured Stainless Steel Journal of Materials Processing Technology https://www.osti.gov/search/identifier:1333616 Document ID: 442979

Jonathan D Madison, Christopher Finfrock, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2016). Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples 2016 Annual International Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1375096 Document ID: 507680

Bradley Howell Jared, Brad Boyce, Jonathan D Madison, Jakob Ostien, Jeffrey Rodelas, Bradley Salzbrenner, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, (2016). Quantifying Material Performance & Defect Signatures in Laser Powder Bed Fusion Solid Freeform Fabrication Symposium https://www.osti.gov/search/identifier:1422073 Document ID: 507604

Jonathan D Madison, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2016). Three-dimensional Identification Of Defect Signatures In An Additively Manufactured Precipitation Hardened Stainless Steel Tms 2017 Document ID: 475802

Mohamed Salah Ebeida, Scott A. Mitchell, Laura Painton Swiler, Vicente J. Romero, Ahmad Rushdi, (2016). POF-Darts: Geometric Adaptive Sampling for Probability of Failure Journal of Reliability Engineering and System Safety https://www.osti.gov/search/identifier:1262234 Document ID: 463769

Laura Painton Swiler, (2016). VVUQ Best Practices in Computational Science/Engineering Problems with some thoughts about extensions/limits to Complex Systems Models Sandia Complex Systems VVUQ Workshop https://www.osti.gov/search/identifier:1368493 Document ID: 464399

Maoyi Huang, Jaideep Ray, Zhangshuan Hou, huiying Ren, Ying Liu, Laura Painton Swiler, (2016). On the Applicability of Surrogate-based MCMC-Bayesian Inversion to the Community Land Model: Case Studies at Flux Tower Sites Journal of Geophysical Research – Atmosphere https://www.osti.gov/search/identifier:1262239 Document ID: 464789

Laura Painton Swiler, Jaideep Ray, (2016). A Parallel MCMC Method Probabilistic Mechanics Conference https://www.osti.gov/search/identifier:1364726 Document ID: 443344

Maoyi Huang, Zhangshuan Hou, Jaideep Ray, Laura Painton Swiler, L Ruby Leung, (2016). An Uncertainty Quantification Framework for Land Models 2016 Land Model Benchmarking Workshop https://www.osti.gov/search/identifier:1364682 Document ID: 443590

Jonathan D Madison, Laura Painton Swiler, Olivia De’Haven Underwood Jackson, Bradley Howell Jared, Brad Boyce, Jeffrey Rodelas, Bradley Salzbrenner, (2016). Statistical Derivation of Defect Populations in an Ensemble Build of Additive Manufactured Tensile Samples Solid Freeform Fabrication Symposium 2016 Document ID: 442872

Jaideep Ray, Laura Painton Swiler, Maoyi Huang, Zhangshuan Hou, (2016). A parallel Markov chain Monte Carlo method for calibrating computationally expensive models ASME Verification & Validation Conference, 2016 https://www.osti.gov/search/identifier:1422090 Document ID: 443076

Kyle Gamble, Laura Painton Swiler, (2016). Uncertainty Quantification and Sensitivity Analysis Applications to Fuel Performance Modeling Top Fuel 2016 https://www.osti.gov/search/identifier:1420256 Document ID: 442377

Laura Painton Swiler, Jaideep Ray, Maoyi (PNNL) Huang, Jason (PNNL) Hou, (2016). SAChES : A Parallel MCMC Method CODA 2016 (Conference on Data Analysis, sponsored by LANL) Document ID: 397711

Laura Painton Swiler, Jaideep Ray, Maoyi (PNNL) Huang, Jason (PNNL) Hou, (2016). A parallel MCMC method Probabilistic Mechanics and Reliability Conference Document ID: 353976

Laura Painton Swiler, (2016). Approaches for representing and propagating uncertainty that will be useful for multi-scale modeling SNL-Georgia Tech Materials Workshop https://www.osti.gov/search/identifier:1239361 Document ID: 397292

Jaideep Ray, Laura Painton Swiler, GSH Pau, G Bisht, FM Hoffman, M Huang, Z Hou, X Chen, (2016). Improving predictive capability of land surface models through robust statistical calibration techniques Advances in Mathematical and Computational Climate Modeling Workshop https://www.osti.gov/search/identifier:1342355 Document ID: 386939

Jaideep Ray, Laura Painton Swiler, GSH Pau, G Bisht, F. Hoffman, M. Huang, Zhangshuan Hou, X. Chen, (2016). Improving predictive capability of land surface models through robust statistical calibration techniques Advances in Mathematical and Computational Climate Modeling Workshop Document ID: 387096

Ahmad Rushdi, Laura Painton Swiler, Scott A. Mitchell, John Davis Jakeman, Eric T. Phipps, Mohamed Salah Ebeida, (2016). VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting Kaust https://www.osti.gov/search/identifier:1514295 Document ID: 376352

Mohamed Salah Ebeida, Ahmad Rushdi, Laura Painton Swiler, Scott A. Mitchell, John Owens, Saman Ashkiani, Anjul Patney, (2016). Recursive k-d Darts for Exploring High-Dimensional Spaces Kaust https://www.osti.gov/search/identifier:1514296 Document ID: 376375

Vicente J. Romero, Laura Painton Swiler, Mohamed Salah Ebeida, Scott A. Mitchell, Matthew R. Glickman, (2016). Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure 18th AIAA Non-Deterministic Approaches Conference, AIAA SciTech 2016 https://www.osti.gov/search/identifier:1339060 Document ID: 376288

Jie Bao, Huiying Ren, Maoyi Huang, Jaideep Ray, Laura Painton Swiler, (2015). A Scalable Multi-chain Markov Chain Monte Carlo Method for Inverting Subsurface Hydraulic and Geological Properties American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1339205 Document ID: 365806

Jaideep Ray, Laura Painton Swiler, Maoyi (PNNL) Huang, Zhangshuan (PNNL) Hou, (2015). Bayesian calibration of the Community Land Model using a multi-chain Markov chain Monte Carlo method American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1530497 Document ID: 365677

Laura Painton Swiler, Kyle (INL) Gamble, Rodney C. Schmidt, Richard (INL) Williamson, (2015). Sensitivity Analysis of OECD Benchmark Tests in BISON https://www.osti.gov/search/identifier:1227986 Document ID: 341682

Scott A. Mitchell, Mohamed Salah Ebeida, Vicente J. Romero, Laura Painton Swiler, Ahmad A. Rushdi, Ahmad Abdelkader, (2015). Efficient Probability of Failure Calculations for QMU using Computational Geometry LDRD 13-0144 Final Report https://www.osti.gov/search/identifier:1221522 Document ID: 321728

Laura Painton Swiler, Michael S. Eldred, Brian M. Adams, (2015). Uncertainty Quantification Methods in the Dakota Toolkit Handbook on Uncertainty Quantification https://www.osti.gov/search/identifier:1331537 Document ID: 219561

Brian M. Adams, Patricia D. Hough, Laura Painton Swiler, (2015). Dakota Software Training: Model Calibration CASL/NEAMS Dakota Training https://www.osti.gov/search/identifier:1298884 Document ID: 319854

Laura Painton Swiler, Brian M. Adams, (2015). Bayesian Calibration in Dakota Dakota Software Training https://www.osti.gov/search/identifier:1514130 Document ID: 319298

Laura Painton Swiler, (2015). VVUQ Best Practices in NEAMS NEAMS (Nuclear Energy Advanced Modeling and Simulation) PI meeting https://www.osti.gov/search/identifier:1257691 Document ID: 286671

Laura Painton Swiler, (2015). Gaussian Process Models Tutorial IMA (NSF Institute for Mathematics and Its Applications), Summer School on Uncertainty Quantification https://www.osti.gov/search/identifier:1257692 Document ID: 286688

Laura Painton Swiler, Vicente J. Romero, (2015). JANNAF V&V Guide: A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods for Computational Applications JANNAF Validation and Verification (V&V) Guide https://www.osti.gov/search/identifier:1214304 Document ID: 208316

Vicente J. Romero, Laura Painton Swiler, Mohamed Salah Ebeida, Scott A. Mitchell, (2015). A Set of Test Problems and Results in Assessing Method Performance in Calculating Low Probabilities of Failure 18th AIAA Non-Deterministic Approaches Conference (SciTech 2016) Document ID: 286064

Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, Z. Hou, M. Huang, Khachik Sargsyan, Laura Painton Swiler, (2015). Bayesian calibration of engineering and scientific models using surrogates ASME 2015 Verification and Validation Symposium https://www.osti.gov/search/identifier:1253310 Document ID: 265318

Laura Painton Swiler, Michael S. Eldred, John N. Shadid, (2015). Whitepaper prepared for DOE Workshop on Integrated Simulations for Magnetic Fusion Energy Sciences https://www.osti.gov/search/identifier:1178923 Document ID: 254355

Eric R. Keiter, Laura Painton Swiler, (2015). Uncertainty Quantification Methods for Electrical Simulation 2015 CIS External Review https://www.osti.gov/search/identifier:1248668 Document ID: 243476

Mark D. Ivey, David G. Robinson, Mark B. Boslough, George A. Backus, Kara J. Peterson, Bart G van Bloemen Waanders, Laura Painton Swiler, Darin Maurice Desilets, Rhonda Karen Reinert, (2015). Arctic Climate Systems Analysis https://www.osti.gov/search/identifier:1177602 Document ID: 154811

Keith Dalbey, Brian M. Adams, John Adam Stephens, Laura Painton Swiler, (2015). Dakota Sensitivity Analysis and Uncertainty Quantification, with Examples CDSE Days https://www.osti.gov/search/identifier:1244466 Document ID: 232873

Zhangshuan (PNNL) Hou, Maoyi (PNNL) Huang, Jaideep Ray, Laura Painton Swiler, (2015). Quantification of structural uncertainty in a land surface model SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1331643 Document ID: 232735

Jaideep Ray, Laura Painton Swiler, maoyi (PNL) huang, jason (PNL) hou, (2015). Use of Parallel MCMC Methods with the Community Land Model SIAM Computational Science and Engineering Conference 2015 https://www.osti.gov/search/identifier:1246298 Document ID: 232406

Jaideep Ray, Laura Painton Swiler, Maoyi Huang, Hou Zhangshuan, (2015). Estimating a model discrepancy term for the Community Land Model using latent heat and runoff observations SIAM Conference on Computation Science & Engineering (SIAM-CSE15) https://www.osti.gov/search/identifier:1240842 Document ID: 232177

Keith Dalbey, Brian M. Adams, Laura Painton Swiler, (2015). Dakota: A Toolkit for Sensitivity Analysis, Uncertainty Quantification, and Calibration CDSE Days Document ID: 221663

Z Hou, Jaideep Ray, M Huang, Laura Painton Swiler, (2015). Applicability of surrogate-based MCMC-Bayesian inversion of CLM at flux tower sites with various field conditions American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1504327 Document ID: 219413

Michael S. Eldred, Laura Painton Swiler, Brian M. Adams, (2014). Overview of Selected DOE/NNSA Predictive Science Initiatives: the Predictive Science Academic Alliance Program and the DAKOTA Project AIAA SciTech 2015 https://www.osti.gov/search/identifier:1315416 Document ID: 219531

Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Laura Painton Swiler, (2014). Using runoff data to calibrate the Community Land Model American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1319743 Document ID: 219282

Eric R. Keiter, Laura Painton Swiler, (2014). Advanced Uncertainty Quantification Methods for Circuit Simulation: Interim Report, LDRD 2014-0788 https://www.osti.gov/search/identifier:1504105 Document ID: 218923

Laura Painton Swiler, (2014). Sensitivity Analysis of the Gap Heat Transfer Model in BISON NEAMS Annual PI meeting https://www.osti.gov/search/identifier:1242739 Document ID: 208553

Laura Painton Swiler, Rodney C. Schmidt, Richard (INL) Williamson, Danielle (INL) Perez, (2014). Sensitivity Analysis of the Gap Heat Transfer Model in BISON https://www.osti.gov/search/identifier:1160301 Document ID: 166296

Mohamed Salah Ebeida, Scott A. Mitchell, Laura Painton Swiler, Vicente J. Romero, (2014). POF-Darts: Geometric Adaptive Sampling for Probability of Failure SIAM Journal on Uncertainty Quantification https://www.osti.gov/search/identifier:1184488 Document ID: 144037

Aidan P. Thompson, Peter Andrew Schultz, Paul Crozier, Stan Gerald Moore, Laura Painton Swiler, John Adam Stephens, Christian Robert Trott, Stephen M. Foiles, Garritt J. (Drexel University) Tucker, (2014). Automated Algorithms for Quantum-Level Accuracy in Atomistic Simulations: LDRD Final Report https://www.osti.gov/search/identifier:1158668 Document ID: 155463

Aidan P. Thompson, Laura Painton Swiler, Christian Robert Trott, Stephen M. Foiles, Garritt J. Tucker, (2014). SNAP: Automated Generation of Quantum-Accurate Interatomic Potentials Journal of Computational Physics https://www.osti.gov/search/identifier:1426894 Document ID: 154955

Brian M. Adams, Lara E Bauman, William J. Bohnhoff, Keith Dalbey, John P. Eddy, Mohamed Salah Ebeida, Michael S. Eldred, Patricia D. Hough, Kenneth Hu, John Davis Jakeman, Laura Painton Swiler, John Adam Stephens, Dena Vigil, Timothy Michael Wildey, (2014). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 6.0 Users ManualVersion 6.0 Users Manual https://www.osti.gov/search/identifier:1177077 Document ID: 5336051

Brian M. Adams, Lara E Bauman, William J. Bohnhoff, Keith Dalbey, John P. Eddy, Mohamed Salah Ebeida, Michael S. Eldred, Patricia D. Hough, Kenneth Hu, John Davis Jakeman, Laura Painton Swiler, John Adam Stephens, Dena Vigil, Timothy Michael Wildey, (2014). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 6.0 Theory ManualVersion 6.0 Theory Manual https://www.osti.gov/search/identifier:1177048 Document ID: 5336050

Gregory A. Rochau, Laura Painton Swiler, Zhangshuan hou, Maoyi Huang, (2014). Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1141487 Document ID: 5334551

Keith Dalbey, Laura Painton Swiler, (2014). Gaussian Process Adaptive Importance Sampling (GPAIS) SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1141661 Document ID: 5334478

Gregory A. Rochau, Laura Painton Swiler, Maoyi Huang, Zhangshuan Hou, (2014). Estimation of Structural Error in the Community Land Model Using Latent Heat Observations SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1141762 Document ID: 5334319

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, (2014). Probabilistic Methods for Sensitivity Analysis and Calibration of Computer Models in the NASA Challenge Problem Journal of Aerospace Information Systems https://www.osti.gov/search/identifier:1141704 Document ID: 5334156

Gregory A. Rochau, Laura Painton Swiler, Maoyi Huang, Zhangshuan Hou, Khachik Sargsyan, (2014). Bayesian Calibration Of The Community Land Model Using Surrogates SIAM Journal of Uncertainty Quantification https://www.osti.gov/search/identifier:1141039 Document ID: 5332945

Stephen M. Foiles, Aidan P. Thompson, Laura Painton Swiler, Christian Robert Trott, Garritt J. Tucker, Christopher Weinberger, (2014). A New Approach for Interatomic Potentials: Application to Tantalum TMS2014143rd Annual Meeting and Exhibition https://www.osti.gov/search/identifier:1140507 Document ID: 5332695

Gregory A. Rochau, Laura Painton Swiler, Zhangshuan How, Maoyi Huang, (2014). Bayesian calibration of the Community Land Model using surrogates https://www.osti.gov/search/identifier:1204075 Document ID: 5332439

Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, (2014). Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis 16th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1140342 Document ID: 5331824

Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, (2013). Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis 16th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1122619 Document ID: 5331009

Vicente J. Romero, Laura Painton Swiler, Angel Urbina, Josh Mullins, (2013). A Comparison of Methods for Representing Sparsely Sampled Random Quantities https://www.osti.gov/search/identifier:1096268 Document ID: 5322751

V. Gregory Weirs, George Edgar Orient, Laura Painton Swiler, Vicente J. Romero, Brian Carnes, (2013). Proposal for the 2014 Verification and Validation Challenge Workshop Usnccm https://www.osti.gov/search/identifier:1106789 Document ID: 5325205

Keith Dalbey, Laura Painton Swiler, (2013). Gaussian Process Adaptive Importance Sampling International Journal for Uncertainty Quantification https://www.osti.gov/search/identifier:1080020 Document ID: 5322748

Aidan P. Thompson, Christian Robert Trott, Laura Painton Swiler, Garritt Tucker, Stephen M. Foiles, Steven J. Plimpton, (2013). Quantum-Accurae LAMMPS SNAP Simulations on Petascale Platforms CIS External Review https://www.osti.gov/search/identifier:1661293 Document ID: 5322298

V. Gregory Weirs, Brian Carnes, Kenneth Hu, George Edgar Orient, Vicente J. Romero, Laura Painton Swiler, (2013). Proposal for FY14 V&V Challenge Workshop ASME 2013 Verification and Validation Symposium https://www.osti.gov/search/identifier:1079791 Document ID: 5322668

George Edgar Orient, Brian Carnes, Vicente J. Romero, Laura Painton Swiler, V. Gregory Weirs, (2013). Proposal for FY14 V&V Challenge Workshop ASME V&V Symposium https://www.osti.gov/search/identifier:1115651 Document ID: 5321954

Brian M. Adams, Michael S. Eldred, Laura Painton Swiler, (2013). Dakota: Advanced Exploration of Simulations SNL Engineering Science Research Foundations (ESRF), External Advisory Board https://www.osti.gov/search/identifier:1660832 Document ID: 5321464

Vicente J. Romero, Laura Painton Swiler, Angel Urbina, Josh Mullins, (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables Final Results 15th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1115997 Document ID: 5320166

Vicente J. Romero, Laura Painton Swiler, Angel Urbina, Josh Mullins, (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables – Final Results 15th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1073212 Document ID: 5320730

Katrina Groth, Laura Painton Swiler, Susan S. Adams, Curtis L. Smith, (2013). A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methodsprobabilities assigned by existing HRA methods Reliability Engineering and System Safety https://www.osti.gov/search/identifier:1072471 Document ID: 5320210

Katrina Groth, Laura Painton Swiler, (2013). Use of Limited Data to Construct Bayesian Networks for Probabilistic Risk Assessment https://www.osti.gov/search/identifier:1095131 Document ID: 5319768

Aidan P. Thompson, Peter Andrew Schultz, Laura Painton Swiler, Christian Robert Trott, Garritt Tucker, Stephen M. Foiles, (2013). Automated generation of quantum-accurate classical interatomic potentials for metals and semiconductors APS March Meeting 2013 https://www.osti.gov/search/identifier:1069031 Document ID: 5319931

Vicente J. Romero, Laura Painton Swiler, Angel Urbina, Josh Mullins, (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables More Results Soc. Automotive Engineers 2013 World Congress https://www.osti.gov/search/identifier:1064330 Document ID: 5319157

Timothy Michael Wildey, Laura Painton Swiler, (2012). Progress on Calibration of 2-Degree Simulations from CAM5 CSSEF Weekly Telecon https://www.osti.gov/search/identifier:1648264 Document ID: 5314751

Keith Dalbey, Laura Painton Swiler, (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) International Journal for Uncertainty Quantification https://www.osti.gov/search/identifier:1061226 Document ID: 5313127

Brian M. Adams, Laura Painton Swiler, Michael S. Eldred, David M. Gay, (2012). DAKOTA Training 2008: Uncertainty Quantification DAKOTA Training 2008 Document ID: 5268444

Katrina Groth, Laura Painton Swiler, (2012). Using limited data to construct Bayesian Networks for Human Reliability Analysis Sandia LDRD Day https://www.osti.gov/search/identifier:1650253 Document ID: 5310111

James R Kamm, V. Gregory Weirs, Laura Painton Swiler, Brian M. Adams, William J. Rider, Michael S. Eldred, Marco Ratto, Stefano Tarantola, (2012). A Sensitivity Analysis of the Gas Dynamics Equations XII International Workshop on Supercomputing and Mathematical Modeling https://www.osti.gov/search/identifier:1121790 Document ID: 5287745

Keith Dalbey, Laura Painton Swiler, (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) Physical Review Letters https://www.osti.gov/search/identifier:1064102 Document ID: 5309554

Katrina Groth, Laura Painton Swiler, (2012). SPAR-H Bayesian Network for predicting Human Error Probabilities with missing observations International Probabilistic Safety and Management conference (PSAM 11) https://www.osti.gov/search/identifier:1064236 Document ID: 5309203

Keith Dalbey, Laura Painton Swiler, (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) Quality and Productivity Research Conference 2012 https://www.osti.gov/search/identifier:1067635 Document ID: 5308407

Kenneth Hu, Laura Painton Swiler, (2012). Bayesian Model Selection on Undetermined Nuclear Reactor Models AIAA SDM conference https://www.osti.gov/search/identifier:1117292 Document ID: 5307107

Brian M. Adams, Laura Painton Swiler, Michael S. Eldred, (2012). Practical UQ for Engineering Applications with DAKOTA SIAM Conference on Uncertainty Quantification (UQ12) https://www.osti.gov/search/identifier:1117563 Document ID: 5306236

Katrina Groth, Laura Painton Swiler, (2012). Use of a SPAR-H Bayesian Network for predicting Human Error Probabilities with missing observationsProbabilities with missing observations Probabilistic Safety and Management Conference https://www.osti.gov/search/identifier:1062822 Document ID: 5303513

Douglas P. Ghormley, William Eugene Hart, Patricia D. Hough, Ojas D. Parekh, Cynthia Ann Phillips, John Daniel Siirola, Laura Painton Swiler, Jean-Paul Watson, Herbert K.H. Lee, David L. Woodruff, (2012). Optimization of Large-Scale Heterogeneous System-of-Systems Models https://www.osti.gov/search/identifier:1034869 Document ID: 5303455

Brian M. Adams, William J. Bohnhoff, Keith Dalbey, John P. Eddy, Michael S. Eldred, Patricia D. Hough, Sophia Lefantzi, Laura Painton Swiler, Dena Vigil, (2011). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis; Version 5.2 Theory Manual https://www.osti.gov/search/identifier:1031910 Document ID: 5302319

Brian M. Adams, Laura Painton Swiler, Michael S. Eldred, David M. Gay, (2011). DAKOTA Training 2008: Overview and Sensitivity Analysis DAKOTA Training 2008 Document ID: 5268442

Randy J. Shul, Laura Painton Swiler, Herbert Lee, Curtis Storlie, (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches SIAM Conference on Optimization https://www.osti.gov/search/identifier:1108098 Document ID: 5294758

Vicente J. Romero, Laura Painton Swiler, Angel Urbina, (2011). An Initial Comparison of Methods for Representing and Aggregating Experimental Uncertainties involving Sparse Data 13 AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1108523 Document ID: 5293415

Vicente J. Romero, Laura Painton Swiler, Angel Urbina, (2011). An Initial Comparison of Methods for Representing and Aggregating Experimental Uncertainties involving Sparse Data 13 AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1108658 Document ID: 5292973

Brian M. Adams, Michael S. Eldred, Laura Painton Swiler, (2011). Managing Complexity in Simulation-Based Uncertainty Quantification Workshop on Future Directions in Applied Mathematics https://www.osti.gov/search/identifier:1120645 Document ID: 5292678

Randy J. Shul, Laura Painton Swiler, Herbie Lee, Curtis Storlie, (2011). Mixed Variable Surrogate Models for Engineering Analysis 2011 Constraint Programming and Decision Making Workshop https://www.osti.gov/search/identifier:1108818 Document ID: 5292839

Brian M. Adams, Keith Dalbey, Laura Painton Swiler, (2011). Surrogate Modeling with Surfpack INFORMS Annual Meeting 2010 https://www.osti.gov/search/identifier:1035640 Document ID: 5289591

V. Gregory Weirs, James R Kamm, Laura Painton Swiler, Brian M. Adams, William J. Rider, Michael S. Eldred, Stefano Tarantola, Marco Ratto, (2010). Sensitivity Analysis Techniques Applied to a Model Shock Problem (U) Nuclear Explosives Code Developers Conference https://www.osti.gov/search/identifier:1035999 Document ID: 5289973

V. Gregory Weirs, Laura Painton Swiler, Brian M. Adams, William J. Rider, Michael S. Eldred, Stefano Tarantola, Marco Ratto, (2010). Sensitivity Analysis Techniques Applied to a Model Shock Problem XII International Workshop on Supercomputing and Mathematical Modeling https://www.osti.gov/search/identifier:1035611 Document ID: 5289792

V. Gregory Weirs, James R Kamm, Laura Painton Swiler, Brian M. Adams, William J. Rider, Michael S. Eldred, Stefano Tarantola, Marco Ratto, (2010). Sensitivity Analysis Techniques Applied to a Model Shock Problem Nuclear Explosives Code Developers Conference (NECDC) 2010 https://www.osti.gov/search/identifier:1027079 Document ID: 5287534

Kwan S. Kwok, Laura Painton Swiler, Sankaran Mahadevan, (2010). Decision Making Under Epistemic Uncertainty for a Complex Mechanical System 13th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1022968 Document ID: 5285959

V. Gregory Weirs, Laura Painton Swiler, Brian M. Adams, James R Kamm, William J. Rider, Michael S. Eldred, Marco Ratto, Stefano Tarantola, (2010). Sensitivity Analysis Techniques Applied to a System of Hyperbolic Conservation Laws, Part&#160I Sixth International Conference on Sensitivity Analysis of Model Output https://www.osti.gov/search/identifier:1021144 Document ID: 5284635

V. Gregory Weirs, Laura Painton Swiler, Brian M. Adams, James R Kamm, William J. Rider, Michael S. Eldred, Marco Ratto, Stefano Tarantola, (2010). Sensitivity Analysis Techniques Applied to a System of Hyperbolic Conservation Laws, Part&#160II Sixth International Conference on Sensitivity Analysis of Model Output https://www.osti.gov/search/identifier:1021143 Document ID: 5284636

William Cyrus Proctor, Laura Painton Swiler, Michael S. Eldred, (2010). Global Sensitivity Analysis 2nd Verification and Validation for Nuclear Systems Analysis Workshop https://www.osti.gov/search/identifier:1020435 Document ID: 5283272

Brian M. Adams, Keith Dalbey, Michael S. Eldred, David M. Gay, Laura Painton Swiler, William J. Bohnhoff, John P. Eddy, Karen Haskell, Patricia D. Hough, (2010). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 5.0 Users ManualQuantification, and Sensitivity Analysis: Version 5.0 Users Manual https://www.osti.gov/search/identifier:991842 Document ID: 5278672

Brian M. Adams, Keith Dalbey, Michael S. Eldred, David M. Gay, Laura Painton Swiler, William J. Bohnhoff, John P. Eddy, Karen Haskell, Patricia D. Hough, (2010). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 5.0 Reference ManualQuantification, and Sensitivity Analysis: Version 5.0 Reference Manual https://www.osti.gov/search/identifier:991841 Document ID: 5278673

Brian M. Adams, Keith Dalbey, Michael S. Eldred, David M. Gay, Laura Painton Swiler, William J. Bohnhoff, John P. Eddy, Karen Haskell, Patricia D. Hough, (2010). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 5.0 Developers ManualQuantification, and Sensitivity Analysis: Version 5.0 Developers Manual https://www.osti.gov/search/identifier:991840 Document ID: 5278674

Donald F. Susan, Laura Painton Swiler, Gary Tang, (2010). Mixed Aleatory-Epistemic Uncertainty Quantification with Stochastic Expansions and Optimization-Based Interval Estimation Reliability Engineering and System Safety https://www.osti.gov/search/identifier:1114165 Document ID: 5281041

Donald F. Susan, Laura Painton Swiler, (2009). Efficient Algorithms for Mixed Aleatory-Epistemic Uncertainty Quantification with Application to Radiation-Hardened Electronics Part I: Algorithms and Benchmark ResultsPart I: Algorithms and Benchmark Results https://www.osti.gov/search/identifier:972887 Document ID: 5275364

Brian M. Adams, Laura Painton Swiler, Michael S. Eldred, David M. Gay, (2009). DAKOTA Training 2008: Optimization and Calibration DAKOTA Training 2008 https://www.osti.gov/search/identifier:1696903 Document ID: 5268443

Thomas Lee Paez, Laura Painton Swiler, (2008). Probabilistic Methods in Model Validation International Modal Analysis Conference https://www.osti.gov/search/identifier:1142297 Document ID: 5266918

Francesca Reale McFadden, Vicente J. Romero, Laura Painton Swiler, (2007). Effective Robust Design Strategy employing Ordinal Variance Minimization and Adaptive Mean Constraint Satisfaction 10th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1147657 Document ID: 5255025

Kay Ellen White Vugrin, Randall Mark Roberts, Laura Painton Swiler, (2007). Confidence Region Estimation for Groundwater Parameter Identification Problems 2007 AGU Conference https://www.osti.gov/search/identifier:1147659 Document ID: 5254935

Jaewook Joo, Steven J. Plimpton, Shawn Martin, Laura Painton Swiler, Jean-Loup M. Faulon, (2007). Sensitivity Analysis of NF-?B signaling network The Annals of New York Academy of Sciences https://www.osti.gov/search/identifier:1147524 Document ID: 5254636

John McFarland, Anthony A. Giunta, Laura Painton Swiler, (2007). Advanced Uncertainty Quantification Methods for Engineering Applications 2005 Sandia Summer Student Symposium https://www.osti.gov/search/identifier:969552 Document ID: 5234620

Vicente J. Romero, Laura Painton Swiler, (2007). Progressive Response Surfaces 9th ASCE EMD/SEI/GI/AD ASCI Joint Specialty Conference on Probabilistic Mechanics & Structural Relia https://www.osti.gov/search/identifier:959302 Document ID: 5223116

Anthony A. Giunta, Laura Painton Swiler, Michael S. Eldred, William Eugene Hart, Cynthia Ann Phillips, Jean-Paul Watson, (2007). Optimization Under Uncertainty Research and Applications at Sandia National Laboratories 9th INFORMS Computing Society Conference https://www.osti.gov/search/identifier:943858 Document ID: 5228659

Anthony A. Giunta, Michael S. Eldred, Laura Painton Swiler, Timothy G. Trucano, Steven F. Wojtkiewicz, (2007). Perspectives On Optimization Under Uncertainty: Algorithms And Applications 10th AIAA Multidisciplinary Analysis and Optimization Conference https://www.osti.gov/search/identifier:947287 Document ID: 5228211

Anthony A. Giunta, Laura Painton Swiler, Shannon Lee Brown, Michael S. Eldred, Mark Richards, Eric Cyr, (2007). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data 2006 AIAA Multidisciplinary Analysis & Optimization Conference https://www.osti.gov/search/identifier:943891 Document ID: 5239818

Shannon Lee Brown, Brian M. Adams, Daniel Dunlavy, David M. Gay, Laura Painton Swiler, Anthony A. Giunta, William Eugene Hart, Jean-Paul Watson, John P. Eddy, Joshua Griffin, Patricia D. Hough, Tamara G. Kolda, Monica L Martinez-Canales, Pamela J. Williams, (2006). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis. Version 4.0 Developers Manual. https://www.osti.gov/search/identifier:896280 Document ID: 5243827

Shannon Lee Brown, Brian M. Adams, Daniel Dunlavy, David M. Gay, Laura Painton Swiler, Anthony A. Giunta, William Eugene Hart, Jean-Paul Watson, John P. Eddy, Joshua Griffin, Patricia D. Hough, Tamara G. Kolda, Monica L Martinez-Canales, Pamela J. Williams, (2006). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis. Version 4.0 Reference Manual. https://www.osti.gov/search/identifier:895073 Document ID: 5243828

Anthony A. Giunta, Laura Painton Swiler, Shannon Lee Brown, Michael S. Eldred, Mark D Richards, Eric C. Cyr, (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data 11th AIAA/ISSMO Multidisciplinary Analysis & Optimization Conference https://www.osti.gov/search/identifier:1266128 Document ID: 5245809

Barron James Bichon, Michael S. Eldred, Laura Painton Swiler, John McFarland, Sankaran Mahadevan, (2006). Multimodal Reliability Assessment for Complex Engineering Applications using Sequential Kriging Optimization AIAA SDM Multidisciplinary Optimization (MDO) Conference https://www.osti.gov/search/identifier:1264585 Document ID: 5245210

John McFarland, Laura Painton Swiler, Anthony A. Giunta, Sankaran Mahadevan, (2006). Bayesian Calibration of the QASPR Model AIAA SDM NDA (NonDeterministic Approaches) Conference https://www.osti.gov/search/identifier:1264037 Document ID: 5245128

Anthony A. Giunta, Michael S. Eldred, Laura Painton Swiler, (2006). The DAKOTA Toolkit and its use in Computational Experiments NSF – SAMSI Summer School on Computer Experiments https://www.osti.gov/search/identifier:1264111 Document ID: 5244858

Brian Milne Rutherford, Laura Painton Swiler, Thomas Lee Paez, Angel Urbina, (2006). Response Surface (Meta-model) Methods and Applications SEM IMAX XXIV Conference https://www.osti.gov/search/identifier:882055 Document ID: 5237504

Anthony A. Giunta, Laura Painton Swiler, Michael S. Eldred, John M. McFarland, (2005). The Promise And Peril Of Uncertainty Quantification Using Response Surface Approximations Structure and Infrastructure Engineering https://www.osti.gov/search/identifier:884754 Document ID: 5235216

Kay Ellen White Vugrin, Laura Painton Swiler, Randall Mark Roberts, Nicholas J. Stucky-Mack, Sean P. Sullivan, (2005). Conference Region Estimation Techniques for Nonlinear Regression: Three Case Studies https://www.osti.gov/search/identifier:877714 Document ID: 5237089

Vicente J. Romero, Laura Painton Swiler, (2005). Error Estimation Approaches for Progressive Response Surfaces- More Results International Modal Analysis Conference https://www.osti.gov/search/identifier:1465858 Document ID: 5237950

Vicente J. Romero, Raisa Slepoy, Laura Painton Swiler, Anthony A. Giunta, T Krishnamurthy, (2005). Error Estimation Approaches for Progressive Response Surfaces 46th Structures, structural Dynamics, and materials Conference https://www.osti.gov/search/identifier:1465858 Document ID: 5231677

Timothy G. Trucano, Laura Painton Swiler, (2004). Treatment Of Model Uncertainty In Model Calibration Probabilistic Mechanics Conference 2004 https://www.osti.gov/search/identifier:1465858 Document ID: 5222246

Timothy G. Trucano, Laura Painton Swiler, (2004). Calibration, Validation, and Sensitivity Analysis: What’s What and Who Cares? 4th International Conference on Sensitivity Analysis of Model Output – Invited Presentation https://www.osti.gov/search/identifier:1465858 Document ID: 5221381

Paul E. Dodd, Bruce M. Thompson, Laura Painton Swiler, Bruce M. Thompson, (2002). Consequence Analysis in Predictive Health Monitoring Systems Psam 6 https://www.osti.gov/search/identifier:1465858 Document ID: 4356100

Paul E. Dodd, Bruce M. Thompson, Laura Painton Swiler, Bruce M. Thompson, (2002). Consequence Analysis in Predictive Health Monitoring Systems International Association of Probabilistic Safety Assessment and Management (IAPSAM)-6 https://www.osti.gov/search/identifier:1465858 Document ID: 4183400

Vicente J. Romero, Laura Painton Swiler, Anthony A. Giunta, (2001). Construction of Response Surfaces Based on Progressive-Lattice-Sampling Experimental Designs, with Application to Reliability Problems Structural Safety Journal https://www.osti.gov/search/identifier:1465858 Document ID: 3794000

Vicente J. Romero, Laura Painton Swiler, Anthony A. Giunta, (2000). Application of Finite Element, Global Polynomial, and Kriging Response Surfaces in Progressive Lattice sampling Designs 8th ASCE Specialty Conference on Probabilistic Mechanical and Structural Reliability https://www.osti.gov/search/identifier:1465858 Document ID: 3523300

Showing Results. Show More Publications