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Publication	Type	Year
Comparing reproduced cyber experimentation studies across different emulation testbeds Cyber Security Experimentation and Test Workshop Thomas D. Tarman, Laura Painton Swiler, Gerardo Cruz, Eric D. Vugrin, Trevor Rollins, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis https://www.osti.gov/search/identifier:1876709	Conference Proceeding – 2021 Conference Proceeding	2021
Uncertainty quantification in cyber experimentation CSET 2021 - 14th Cyber Security Experimentation and Test (CSET) Workshop Michael Stickland, Justin Ding-Yuan Li, Thomas D. Tarman, Laura Painton Swiler https://www.osti.gov/search/identifier:1867999	Conference Paper – 2021 Conference Paper	2021
Sensitivity Analysis for the Latest Crystalline Reference Case DOE Spent Fuel and Waste Disposition Annual Program Meeting (virtual) Laura Painton Swiler https://www.osti.gov/search/identifier:1868007	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
GP and PCE surrogate models for estimation of sensitivity indices Spent Fuel and Waste Disposition Annual Program Meeting (virtual) Laura Painton Swiler, Dusty Marie Brooks https://www.osti.gov/search/identifier:1868008	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Comparing reproduced cyber experimentation studies across different emulation testbeds Cyber Security Experimentation and Test Workshop Thomas D. Tarman, Laura Painton Swiler, Gerardo Cruz, Eric D. Vugrin, Trevor Rollins, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis https://www.osti.gov/search/identifier:1867995	Conference Paper – 2021 Conference Paper	2021
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference 2021 - Virtual 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 https://www.osti.gov/search/identifier:1867564	Conference Presentation – 2021 Conference Presentation	2021
Statistical Methods used in the Born Qualified LDRD Project Sandia Seminar Series 3D Characterization Community of Practice, https://wp.sandia.gov/3dccop/seminars/ Laura Painton Swiler https://www.osti.gov/search/identifier:1863692	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Epistemic Uncertainty: Computation and Usage Virtual Conference on Epistemic Uncertainty in Engineering (note this is an online conference Laura Painton Swiler https://www.osti.gov/search/identifier:1855744	Conference Presentation – 2021 Conference Presentation	2021
Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments SIAM Computational Science and Engineering Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler https://www.osti.gov/search/identifier:1847628	Conference Presentation – 2021 Conference Presentation	2021
Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model SIAM Conference on Computational Science and Engineering (CSE21) Teresa Portone, Laura Painton Swiler, Gianluca Geraci, Michael S. Eldred https://www.osti.gov/search/identifier:1847219	Conference Presentation – 2021 Conference Presentation	2021
Constrained Gaussian Processes: A Survey SIAM Computational Science and Engineering Conference 2021 Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1847480	Conference Presentation – 2021 Conference Presentation	2021
Epistemic Uncertainty: Computation and Usage Virtual Conference on Epistemic Uncertainty in Engineering, University of Liverpool Laura Painton Swiler https://www.osti.gov/search/identifier:1845192	Conference Presentation – 2021 Conference Presentation	2021
Multifidelity UQ sampling for stochastic simulations 16th U.S. National Congress on Computational Mechanics Gianluca Geraci, Laura Painton Swiler, Bert Debusschere	Abstract – 2021 Abstract	2021
Exploration of multifidelity UQ sampling strategies for computer network applications International Journal for Uncertainty Quantification Gianluca Geraci, Jonathan Crussell, Laura Painton Swiler, Bert Debusschere https://www.osti.gov/search/identifier:1765751	Journal Article – 2021 Journal Article	2021
Uncertainty Analysis of a Medical Resource Demand Model COVID-19 Summit 2 Laura Painton Swiler https://www.osti.gov/search/identifier:1841815	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Dakota-NAERM Integration Laura Painton Swiler, Sarah Newman, Andrea Staid, Emily Barrett https://www.osti.gov/search/identifier:1762833	SAND Report – 2021 SAND Report	2021
Uncertainty and Sensitivity Analysis Overview Spent Fuel and Waste Disposition (SFWD) Telecommuting Seminar Series Laura Painton Swiler https://www.osti.gov/search/identifier:1840824	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Model Discrepancy Calibration and Propagation Across Experimental Settings World Congress on Computational Mechanics Kathryn Anne Maupin, Laura Painton Swiler https://www.osti.gov/search/identifier:1833158	Conference Presentation – 2020 Conference Presentation	2020
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference 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	Abstract – 2020 Abstract	2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Journal of Machine Learning for Modeling and Computing Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1691455	Journal Article – 2020 Journal Article	2020
Sensitivity and Uncertainty Analysis of Generator Failures under Extreme Temperature Scenarios in Power Systems Benjamin Freixas Emery, Andrea Staid, Laura Painton Swiler https://www.osti.gov/search/identifier:1808746	SAND Report – 2020 SAND Report	2020
Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Paul Mariner, Teresa Portone, Emily Stein https://www.osti.gov/search/identifier:1671381	Report – 2020 Report	2020
Advances in GDSA Framework Development and Process Model Integration 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 https://www.osti.gov/search/identifier:1671380	Report – 2020 Report	2020
Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations Erin Acquesta, Laura Painton Swiler, Ali Pinar https://www.osti.gov/search/identifier:1673455	SAND Report – 2020 SAND Report	2020
Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments Siam Conference on Computational Science and Engineering Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler	Abstract – 2020 Abstract	2020
Document Title	Type	Year

Results 51–75 of 402

Publications

Comparing reproduced cyber experimentation studies across different emulation testbeds

Uncertainty quantification in cyber experimentation

Sensitivity Analysis for the Latest Crystalline Reference Case

GP and PCE surrogate models for estimation of sensitivity indices

Comparing reproduced cyber experimentation studies across different emulation testbeds

Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories

Statistical Methods used in the Born Qualified LDRD Project

Epistemic Uncertainty: Computation and Usage

Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments

Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model

Constrained Gaussian Processes: A Survey

Epistemic Uncertainty: Computation and Usage

Multifidelity UQ sampling for stochastic simulations

Exploration of multifidelity UQ sampling strategies for computer network applications

Uncertainty Analysis of a Medical Resource Demand Model

Dakota-NAERM Integration

Uncertainty and Sensitivity Analysis Overview

Model Discrepancy Calibration and Propagation Across Experimental Settings

Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories

A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges

Sensitivity and Uncertainty Analysis of Generator Failures under Extreme Temperature Scenarios in Power Systems

Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework

Advances in GDSA Framework Development and Process Model Integration

Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations

Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments