Brian M. Adams

Optimization & Uncertainty Quantification

Author profile picture

Optimization & Uncertainty Quantification

briadam@sandia.gov

(505) 284-8845

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

Biography

Brian has worked at Sandia since 2005.  He is currently a principal member of technical staff in the optimization and uncertainty quantification department.  Brian develops, implements, and applies algorithms for optimization and uncertainty quantification on computational models.  He leads the Dakota software project, managing software development and deployment to ensure impact on the span of Sandia science and engineering problems.

Education

Brian earned a B.S. in Mathematics from Saint Michael’s College in 1999, including minors in Computer Science and Music and certification to teach secondary mathematics. He was a U.S. Department of Education GAANN Computational Science Fellow at North Carolina State University from 2000-2003, earning his M.S. in Computational and Applied Mathematics in 2002. Advised by Dr. H.T. Banks, he earned a Ph.D. in Computational and Applied Mathematics in 2005 with dissertation Non-parametric parameter estimation and clinical data fitting with a model of HIV infection.

Publications

Brian M. Adams, (2022). Mathematics Careers at Sandia National Laboratories SIAM Annual Meeting Document ID: 1573860

Gianluca Geraci, Elliott Marshall Ridgway, Brian M. Adams, Bryan William Reuter, Michael S. Eldred, (2022). Multifidelity UQ Workflows with Dakota’s Graphcal User Interface Eccomas 2022 Document ID: 1539968

John Adam Stephens, Daniel Thomas Seidl, Brian M. Adams, Gianluca Geraci, (2022). Overview of the latest features and capabilities in the Dakota software 2022 ECCOMAS Congress Document ID: 1539822

John Adam Stephens, Brian M. Adams, Wesley Poblete Coomber, Elliott Marshall Ridgway, (2022). Flexible CI/CD Software Tools for the Dakota project Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference Document ID: 1539078

John Adam Stephens, Brian M. Adams, Wesley Poblete Coomber, Elliott Marshall Ridgway, (2022). Flexible software tools for CI/CD for the Dakota project 2022 Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference Document ID: 1494340

Gianluca Geraci, Elliott Marshall Ridgway, Brian M. Adams, Bryan William Reuter, Michael S. Eldred, (2021). Multifidelity Uq Workflows With Dakota?s Graphical User Interface 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) Document ID: 1405448

John Adam Stephens, Daniel Thomas Seidl, Brian M. Adams, Gianluca Geraci, (2021). Overview Of The Latest Features And Capabilities In The Dakota Software 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) Document ID: 1405439

Brian M. 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, Justin (SNL) Winokur, (2021). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.15 User’s Manual https://www.osti.gov/search/identifier:1829573 Document ID: 1392243

Daniel Thomas Seidl, Brian M. Adams, John Adam Stephens, Gianluca Geraci, (2021). Dakota Software For Optimization, Uncertainty Quantification And Model Calibration Eccomas 2022 Document ID: 1344547

Brian M. 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, Justin (SNL) Winokur, (2021). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.14 User’s Manual https://www.osti.gov/search/identifier:1784844 Document ID: 1306478

Brian M. Adams, John Adam Stephens, (2021). Dakota: Uncertainty Quantification and Beyond IAEA EVT2005676 (Virtual Event) Consultancy Meeting on MELCOR/DAKOTA Coupling in SNAP and Stand-Alone Severe Accident and Uncertainty Analysis https://www.osti.gov/search/identifier:1856466 Document ID: 1281517

Brian M. Adams, Russell Hooper, (2020). Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact CASL Symposium at 2020 ANS Winter Meeting https://www.osti.gov/search/identifier:1832625 Document ID: 1232336

Brian M. 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, Justin (SNL) Winokur, (2020). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 User’s Manual https://www.osti.gov/search/identifier:1817318 Document ID: 1231801

Brian M. Adams, Teresa Portone, (2020). Make a Difference: Mathematical Sciences R&D Careers at Sandia National Laboratories NCSU Math/Stat Recruiting Session Document ID: 1219771

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

Brian M. Adams, Russell Hooper, (2020). Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact Consortium for Advanced Simulation of LWRs (CASL) Technical Symposium https://www.osti.gov/search/identifier:1769569 Document ID: 1103358

Brian M. Adams, (2019). Computer Science and Cybersecurity R&D Careers at Sandia National Laboratories Recruiting Info Sesssions at NCSU, UNC https://www.osti.gov/search/identifier:1646264 Document ID: 1055313

Brian M. Adams, Kathryn Anne Maupin, (2019). Dimension-reduced UQ for Radiation Spectra SIAM Conference on Uncertainty Quantification (UQ20) Document ID: 1032159

David Michael Kozlowski, Brian M. Adams, Gregory John von Winckel, (2019). Optimal Control Effector Allocation for an Over-Actuated Flight Vehicle 2020 AIAA DEFENSE Forum Document ID: 1031712

Shawn D. Pautz, Brian M. Adams, Donald Eugene Bruss, (2019). Geometric Uncertainty Quantification And Robust Design For 2d Satellite Shielding International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2019) https://www.osti.gov/search/identifier:1641706 Document ID: 999044

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

John Adam Stephens, Brian M. Adams, Gianluca Geraci, (2019). Dakota: What’s New? US National Congress on Computational Mechanics https://www.osti.gov/search/identifier:1641381 Document ID: 996847

Shawn D. Pautz, Donald Eugene Bruss, Brian M. Adams, Brian C. Franke, Ethan Blansett, (2019). Adjoint-Enabled Multidimensional Optimization of Satellite Radiation Shields American Nuclear Society Annual Meeting https://www.osti.gov/search/identifier:1640636 Document ID: 972792

Shawn D. Pautz, Brian M. Adams, Donald Eugene Bruss, (2019). Geometric Uncertainty Quantification And Robust Design For 2d Satellite Shielding International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2019) https://www.osti.gov/search/identifier:1639927 Document ID: 960547

Shawn D. Pautz, Brian M. Adams, Donald Eugene Bruss, Brian C. Franke, Ethan Blansett, (2019). Design Optimization of Satellite Electron/Proton Shields Hardened Electronics and Radiation Technology (HEART) https://www.osti.gov/search/identifier:1639534 Document ID: 937002

Shawn D. Pautz, Brian M. Adams, Donald Eugene Bruss, Brian C. Franke, Ethan Blansett, (2019). Design Optimization of Satellite Electron/Proton Shields Hardened Electronics and Radiation Technology (HEART) https://www.osti.gov/search/identifier:1639412 Document ID: 936892

Shawn D. Pautz, Donald Eugene Bruss, Brian M. Adams, Brian C. Franke, Ethan Blansett, (2019). Adjoint-Enabled Multidimensional Optimization of Satellite Radiation Shields American Nuclear Society Annual Meeting https://www.osti.gov/search/identifier:1639413 Document ID: 936703

Brian M. Adams, (2019). Sandia National Laboratories; Information Session: Mathematics & Computational Science Opportunities UT Austin SIAM Industry Perspective Talk https://www.osti.gov/search/identifier:1643851 Document ID: 914003

Brian M. Adams, Brian M. Adams, (2018). Sandia National Laboratories: Information Session, Mathematics & Statistics Opportunities SNL Recruiting Info Session at NC Stat University Document ID: 889482

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

Shawn D. Pautz, Donald Eugene Bruss, Brian M. Adams, Brian C. Franke, Ethan Blansett, (2018). Adjoint-enabled Multidimensional Optimization of Satellite Electron/Proton Shields Rpsd 2018 https://www.osti.gov/search/identifier:1583060 Document ID: 853591

Shawn D. Pautz, Donald Eugene Bruss, Brian M. Adams, Brian C. Franke, Ethan Blansett, (2018). Adjoint-enabled Multidimensional Optimization Of Satellite Electron/proton Shields Rpsd 2018 https://www.osti.gov/search/identifier:1570568 Document ID: 830631

Brian M. Adams, Patricia D. Hough, John Adam Stephens, (2018). Dakota Optimization and UQ: Explore and Predict with Confidence 2018 SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1513478 Document ID: 784851

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

Brian M. Adams, John Adam Stephens, (2018). Dakota Optimization and UQ: Explore and Predict with Confidence Invited Presentation at LANL https://www.osti.gov/search/identifier:1507940 Document ID: 738845

John Adam Stephens, Brian M. Adams, (2018). Dakota: Explore and Predict with Confidence DoD/SNL Workshop https://www.osti.gov/search/identifier:1525600 Document ID: 783657

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

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

Brian M. Adams, (2017). ASC V&V News Note: Dakota Version 6.6 Released May 15, 2017 SNL ASC V&V News Note Document ID: 658970

Brian M. Adams, (2017). ASC V&V News Note: SIAM News Article on Dakota Software SNL ASC V&V News Note Document ID: 658973

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

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

Brian M. Adams, (2017). Sandia Capabilities for Uncertainty Quantification NNSA/ASC ? CEA/DAM Computing Sciences Collaboration Workshop https://www.osti.gov/search/identifier:1456596 Document ID: 612511

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

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

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

Brian M. Adams, Russell Hooper, (2017). Dakota’s Role in Verification CASL Verification Workshop https://www.osti.gov/search/identifier:1420221 Document ID: 567358

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

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

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

Brian M. Adams, Russell Hooper, (2016). Sensitivity and Uncertainty Analysis with VERA?s Dakota Module CASL Summer Institute 2016 https://www.osti.gov/search/identifier:1367943 Document ID: 475467

Brian M. Adams, (2016). Dakota Software Training: Sensitivity Analysis Dakota Software Training https://www.osti.gov/search/identifier:1365085 Document ID: 431210

Brian M. Adams, Patricia D. Hough, (2016). Recent Advances in Dakota UQ SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1366688 Document ID: 430669

Brian M. Adams, John Adam Stephens, (2016). Dakota: Algorithms for Design Exploration and Simulation Credibility; Data Analysis Capabilities Conference on Data Analysis https://www.osti.gov/search/identifier:1346113 Document ID: 409180

Brian M. Adams, (2016). Dakota: Benefits and Challenges of Lab-developed Open Source Scientific Software Scientific Software Days https://www.osti.gov/search/identifier:1346475 Document ID: 408680

Brian M. Adams, Patricia D. Hough, John Adam Stephens, (2016). Dakota Software Training: Uncertainty Quantification Dakota Software Training https://www.osti.gov/search/identifier:1239352 Document ID: 398041

Brian M. Adams, Patricia D. Hough, Lara E Bauman, (2016). Dakota Software Training: Optimization Dakota Software Training https://www.osti.gov/search/identifier:1239370 Document ID: 397600

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

Brian M. Adams, Vincent Andrew Mousseau, (2015). Credible Simulation, Emphasizing Sensitivity, Uncertainty, and Calibration CASL Summer Student Workshop https://www.osti.gov/search/identifier:1340315 Document ID: 306934

Edward L. Hoffman, Ernest Joseph Friedman-Hill, Marcus Jonathan Gibson, George Edgar Orient, Brian M. Adams, Kevin Harold Olson, (2015). Sensitivity Analysis (SA) and Uncertainty Quantification (UQ) Tools in Sandia Analysis Workbench (SAW) Predictive Engineering Sciences Panel https://www.osti.gov/search/identifier:1531281 Document ID: 243377

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

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

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

Todd D. Heinrichs, Brian M. Adams, (2014). Dakota Version 5.4 Released https://www.osti.gov/search/identifier:1682607 Document ID: 5331935

Allen C. Robinson, Otto Erik Strack, William J. Rider, John Walter, Kristi Brislawn, Edward Love, Thomas E. Voth, Stewart John Mosso, John Henry Judah Niederhaus, Sharon Petney, Richard R. Drake, V. Gregory Weirs, Brian M. Adams, Dena Vigil, John H. Carpenter, Christopher J. Garasi, Michael K. Wong, Joshua Robbins, Christopher Siefert, Ann Elisabet Wills, Susan carroll, Duane LaBreche, Chris Kueny, Chris Luchini, Timothy G. Trucano, Pavel B. Bochev, Randall M. Summers, James R. Stewart, Curtis C. Ober, Thomas A. Haill, Raymond W. Lemke, Kyle Cochrane, Michael P. Desjarlais, (2013). ALEGRA Update: Modernization and Resilience Progress Multimat2013 https://www.osti.gov/search/identifier:1115141 Document ID: 5327018

William G. Rhodes, Brian M. Adams, Aidan P. Thompson, Steven J. Plimpton, Suzanne M. Kelly, Michael L. Parks, David John Littlewood, Dena Vigil, (2013). Computing Research Center Enabling computational simulations of complex physical systems 2nd Annual Sandia Research & Technology Showcase Document ID: 5326676

Ethan Chan, Lara E Bauman, Brian M. Adams, Sophia Lefantzi, Joseph Ruthruff, (2013). DAKOTA JAGUAR 3.0 User’s Manual https://www.osti.gov/search/identifier:1088053 Document ID: 5322274

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

Ethan Chan, Brian M. Adams, Sophia Lefantzi, Joseph Ruthruff, (2011). DAKOTA JAGUAR 2.1 User’s Manual https://www.osti.gov/search/identifier:1021697 Document ID: 5295783

Susan E. Camp, Drake Edward Warren, Mark Ehlen, Geoffrey Taylor Klise, Leonard A. Malczynski, Kevin L. Stamber, Vincent C. Tidwell, Vanessa N Vargas, Aldo A. Zagonel, Timothy G. Trucano, David G. Robinson, Brian M. Adams, Elizabeth H. Richards, John Daniel Siirola, Mark B. Boslough, Mark Alan Taylor, Stephen H. Conrad, Andjelka Kelic, Jesse Dillon Roach, Marissa Devan Ballantine, William A. Stubblefield, David Higdon, Joe Galewsky, James P. Smith, Lillian A. Snyder, Ray E. Finley, Daniel S. Horschel, (2011). Assessing the Near-Term Risk of Climate Uncertainty:Interdependencies among the U.S. States University of Nebraska Spring 2011 Seminar Series https://www.osti.gov/search/identifier:1120834 Document ID: 5291760

David Alan Schoenwald, Jason E. Stamp, Joshua Stein, Robert J. Hoekstra, Jeffrey S. Nelson, Karina Munoz-Ramos, William C. McLendon, Thomas V. Russo, Laurence R. Phillips, Bryan T. Richardson, Andrew Charles Riehm, Paul Wolfenbarger, Brian M. Adams, Matthew J. Reno, Clifford Hansen, Ron A. Oldfield, (2011). Final Report for High Performance Computing for Advanced National Electric Power Grid Modeling and Integration of Solar Generation Resources, LDRD Project No. 149016 https://www.osti.gov/search/identifier:1011206 Document ID: 5291562

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

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

John Daniel Siirola, Brian M. Adams, Samuel Scott Collis, Richard O. Griffith, Kyran D. Mish, Ali Pinar, (2010). Computational Needs for Design, Optimization, Control, and Analysis of Energy Efficient Buildings Computational Science Needs in the Design, Optimization and Operation of Energy Efficient Buildings https://www.osti.gov/search/identifier:1677578 Document ID: 5284449

John Daniel Siirola, Brian M. Adams, Samuel Scott Collis, Richard O. Griffith, Kyran D. Mish, Ali Pinar, (2010). Computational Needs for Design, Optimization, Control, and Analysis of Energy Efficient Buildings Computational Science Needs in the Design, Optimization and Operation of Energy Efficient Buildings https://www.osti.gov/search/identifier:1677579 Document ID: 5284450

Laura Painton Swiler, Michael S. Eldred, Brian M. Adams, (2010). Uncertainty Quantification: Lecture for TEDS CLASS ESP700 Teds Esp700 https://www.osti.gov/search/identifier:1694488 Document ID: 5280041

Laura Painton Swiler, Brian M. Adams, Michael S. Eldred, (2008). Model Calibration under Uncertainty: Matching Distribution Information Presentation AIAA Multidisciplinary Analysis and Optimization https://www.osti.gov/search/identifier:1142385 Document ID: 5265351

Pamela J. Williams, Brian M. Adams, Genetha A. Gray, (2007). Developing a Data Extraction Toolkit for Optimization, Uncertainty Quantification, and Validation INFORMS Annual Meeting https://www.osti.gov/search/identifier:1146684 Document ID: 5257752

Michael Baker, Brian M. Adams, (2007). Design Space Exploration for Robust Global Optimization of Micro Bistable Mechanisms Seventh Biennial Tri-Laboratory Engineering Conference https://www.osti.gov/search/identifier:1148503 Document ID: 5251565

Laura Painton Swiler, Anthony A. Giunta, Michael S. Eldred, Brian M. Adams, Vicente J. Romero, Monica L Martinez-Canales, (2006). DAKOTA and its use in Computational Experiments NECDC (Nuclear Explosives Codes Developers Conference) https://www.osti.gov/search/identifier:1264108 Document ID: 5246894

Michael S. Eldred, 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 Users Manual https://www.osti.gov/search/identifier:895703 Document ID: 5246487

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

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Software

Dakota

Awards & Recognition

2012

Brian M. Adams, Honorable Mention for Notable Technology Development: DAKOTA Software, Federal Laboratory Consortium , September 15, 2012

Brian M. Adams, Applications of Mathematics Colloquium, Loyola University Chicago, February 7, 2012

2016

Russell Hooper, Roger P. Pawlowski, Roscoe Bartlett, Rodney C. Schmidt, Brian M. Adams, Randall M. Summers, R&D 100 Award for VERA: Virtual Environment for Reactor Applications, R&D Magazine, November 3, 2016