Laura Painton Swiler

Asmeret Naugle, Daniel Krofcheck, Christina Warrender, Kiran Lakkaraju, Laura Swiler, Stephen Verzi, Ben Emery, Jaimie Murdock, Michael Bernard, Vicente Romero, (2023). What can simulation test beds teach us about social science? Results of the ground truth program Computational and Mathematical Organization Theory https://doi.org/10.1007/s10588-021-09349-6 Publication ID: 80604

Asmeret Naugle, Stephen Verzi, Kiran Lakkaraju, Laura Swiler, Christina Warrender, Michael Bernard, Vicente Romero, (2023). Feedback density and causal complexity of simulation model structure Journal of Simulation https://doi.org/10.1080/17477778.2021.1982653 Publication ID: 75723

Paul Mariner, Bert Debusschere, David Fukuyama, Jacob Harvey, Tara LaForce, Rosemary Leone, Frank Perry, Laura Swiler, ANNA TACONI, (2022). GDSA Framework Development and Process Model Integration FY2022 https://doi.org/10.2172/1893995 Publication ID: 80378

Dusty Brooks, Laura Swiler, Emily Stein, Paul Mariner, Eduardo Basurto, Teresa Portone, Aubrey Eckert, Rosemary Leone, (2022). Sensitivity analysis of generic deep geologic repository with focus on spatial heterogeneity induced by stochastic fracture network generation Advances in Water Resources https://doi.org/10.1016/j.advwatres.2022.104310 Publication ID: 80187

Normand Modine, John Stephens, Laura Swiler, Aidan Thompson, Dayton Vogel, Attila Cangi, Lenz Feilder, Sivasankaran Rajamanickam, (2022). Accelerating Multiscale Materials Modeling with Machine Learning https://doi.org/10.2172/1889336 Publication ID: 80251

Laura Swiler, Eduardo Basurto, Dusty Brooks, Aubrey Eckert, Rosemary Leone, Paul Mariner, Teresa Portone, Mariah Smith, (2022). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2022) https://doi.org/10.2172/1884909 Publication ID: 80086

Asmeret Naugle, Laura Swiler, Kiran Lakkaraju, Stephen Verzi, Christina Warrender, Vicente Romero, (2022). Graph-Based Similarity Metrics for Comparing Simulation Model Causal Structures https://doi.org/10.2172/1884926 Publication ID: 80095

Asmeret Naugle, Adam Russell, Kiran Lakkaraju, Laura Swiler, Stephen Verzi, Vicente Romero, (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods. Computational and Mathematical Organization Theory https://doi.org/10.1007/s10588-021-09346-9 Publication ID: 80622

Laura Swiler, (2021). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA https://www.osti.gov/servlets/purl/1901835 Publication ID: 77036

Brian Adams, William Bohnhoff, Keith Dalbey, Mohamed Ebeida, John Eddy, Michael Eldred, Russell Hooper, Patricia Hough, Kenneth Hu, John Jakeman, Mohammad Khalil, Kathryn Maupin, Jason Monschke, Elliott Ridgway, Ahmad Rushdi, Daniel Seidl, John Stephens, Laura Swiler, Anh Tran, Justin Winokur, (2021). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis (V.6.16 User’s Manual) https://doi.org/10.2172/1868142 Publication ID: 80729

Laura Swiler, (2021). Verification and Validation for Cyber Emulation https://doi.org/10.2172/1897016 Publication ID: 76651

Paul Mariner, Timothy Berg, Bert Debusschere, Aubrey Eckert, Jacob Harvey, Tara LaForce, Rosemary Leone, Melissa Mills, Michael Nole, Heeho Park, Perry, Daniel Seidl, Laura Swiler, Kyung Chang, (2021). GDSA Framework Development and Process Model Integration FY2021 https://doi.org/10.2172/1825056 Publication ID: 76168

Laura Swiler, Dirk-Alexander Becker, Dusty Brooks, Joan Govaerts, Lasse Koskinen, Elmar Plischke, Klaus-Jürgen Röhlig, Elena Saveleva, Sabine Spiessl, Emily Stein, Valentina Svitelman, (2021). Sensitivity Analysis Comparisons on Geologic Case Studies: An International Collaboration https://doi.org/10.2172/1822591 Publication ID: 75545

Ali Pinar, Thomas Tarman, Laura Swiler, Jared Gearhart, Derek Hart, Eric Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Hanson, Alexander Outkin, Jamie Thorpe, William Hart, Meghan Sahakian, Kasimir Gabert, Casey Glatter, Emma Johnson, She?ifa Punla-Green, (2021). Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) (Final Report) https://doi.org/10.2172/1821322 Publication ID: 75817

Ali Pinar, Thomas Tarman, Laura Swiler, Jared Gearhart, Derek Hart, Eric Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Hanson, Alexander Outkin, Jamie Thorpe, William Hart, Meghan Sahakian, Kasimir Gabert, Casey Glatter, Emma Johnson, She?ifa Punla-Green, (2021). Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK https://doi.org/10.2172/1820527 Publication ID: 75697

Laura Swiler, (2021). White paper on Verification and Validation for Cyber Emulation Models https://doi.org/10.2172/1854720 Publication ID: 75981

Benjamin Wagman, Laura Swiler, Kamaljit Chowdhary, Benjamin Hillman, (2021). The Fingerprints of Stratospheric Aerosol Injection in E3SM https://doi.org/10.2172/1821542 Publication ID: 75727

Michael Stickland, Justin Li, Laura Swiler, Thomas Tarman, (2021). Foundations of Rigorous Cyber Experimentation https://doi.org/10.2172/1854751 Publication ID: 76007

Laura Swiler, Dusty Brooks, (2021). Joint Sensitivity Analysis (JOSA) Exercise Meeting Sept. 21, 2021 https://www.osti.gov/servlets/purl/1888135 Publication ID: 75754

Laura Swiler, Eduardo Basurto, Dusty Brooks, Aubrey Eckert, Rosemary Leone, Paul Mariner, Teresa Portone, Mariah Smith, Emily Stein, (2021). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021) https://doi.org/10.2172/1855018 Publication ID: 79851

Thomas Tarman, Trevor Rollins, Laura Swiler, Gerardo Cruz, Eric Vugrin, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis, (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds ACM International Conference Proceeding Series https://doi.org/10.1145/3474718.3474725 Publication ID: 78420

Thomas Tarman, Laura Swiler, Eric 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 https://doi.org/10.2172/1881645 Publication ID: 79697

Laura Swiler, Dusty Brooks, Emily Stein, Klaus-Jürgen Röhlig, Elmar Plischke, Dirk-Alexander Becker, Sabine 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 https://doi.org/10.2172/1884666 Publication ID: 75431

Gianluca Geraci, Laura Swiler, Bert Debusschere, (2021). Multifidelity UQ sampling for Stochastic Simulations https://doi.org/10.2172/1889573 Publication ID: 79490

Thomas Tarman, Laura Swiler, Gerardo Cruz, Eric Vugrin, Trevor Rollins, Hao Huang, Abhijeet Sahu, Patrick Wlazlo, Ana Goulart, Kate Davis, (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds https://doi.org/10.1145/3474718.3474725 Publication ID: 79240

Sharlotte Kramer, Dan Bolintineanu, Kevin Long, Craig Hamel, A. Frankel, Reese Jones, Laura Swiler, Kyle Johnson, (2021). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories https://doi.org/10.2172/1867564 Publication ID: 78396

Michael Stickland, Justin Li, Thomas Tarman, Laura Swiler, (2021). Uncertainty quantification in cyber experimentation https://www.osti.gov/servlets/purl/1867999 Publication ID: 78424

Laura Swiler, (2021). Sensitivity Analysis for the Latest Crystalline Reference Case https://www.osti.gov/servlets/purl/1868007 Publication ID: 78432

Laura Swiler, Dusty Brooks, (2021). GP and PCE surrogate models for estimation of sensitivity indices https://www.osti.gov/servlets/purl/1868008 Publication ID: 78433

Laura Swiler, (2021). Statistical Methods used in the Born Qualified LDRD Project https://www.osti.gov/servlets/purl/1863692 Publication ID: 78088

Laura Swiler, (2021). Epistemic Uncertainty: Computation and Usage https://doi.org/10.2172/1855744 Publication ID: 77617

Nathan Porter, Kathryn Maupin, Laura Swiler, Vincent Mousseau, (2021). Validation Metrics for Fixed Effects and Mixed-Effects Calibration Journal of Verification, Validation and Uncertainty Quantification https://doi.org/10.1115/1.4049534 Publication ID: 74591

Teresa Portone, Laura Swiler, Gianluca Geraci, Michael Eldred, (2021). Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model https://doi.org/10.2172/1847219 Publication ID: 77339

Bert Debusschere, Gianluca Geraci, John Jakeman, Cosmin Safta, Laura Swiler, (2021). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments https://doi.org/10.2172/1847628 Publication ID: 77383

Laura Swiler, (2021). Epistemic Uncertainty: Computation and Usage https://doi.org/10.2172/1845192 Publication ID: 76636

Laura Swiler, Mamikon Gulian, A. Frankel, Cosmin Safta, John Jakeman, (2021). Constrained Gaussian Processes: A Survey https://doi.org/10.2172/1847480 Publication ID: 77280

Laura Swiler, (2021). Uncertainty and Sensitivity Analysis Overview https://www.osti.gov/servlets/purl/1840824 Publication ID: 75026

Laura Swiler, Sarah Newman, Andrea Staid, Emily Barrett, (2021). Dakota-NAERM Integration https://doi.org/10.2172/1762833 Publication ID: 75059

Laura Swiler, (2021). Uncertainty Analysis of a Medical Resource Demand Model https://www.osti.gov/servlets/purl/1841815 Publication ID: 75093

Gianluca Geraci, Jonathan Crussell, Laura Swiler, Bert Debusschere, (2021). Exploration of multifidelity UQ sampling strategies for computer network applications International Journal for Uncertainty Quantification https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021033774 Publication ID: 76015

Kathryn Maupin, Laura Swiler, (2020). Model Discrepancy Calibration and Propagation Across Experimental Settings https://doi.org/10.2172/1833158 Publication ID: 71936

Benjamin Emery, Andrea Staid, Laura Swiler, (2020). Sensitivity and Uncertainty Analysis of Generator Failures under Extreme Temperature Scenarios in Power Systems https://doi.org/10.2172/1808746 Publication ID: 71307

Mamikon Gulian, Laura Swiler, A. Frankel, Cosmin Safta, John Jakeman, (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges https://www.osti.gov/servlets/purl/1814448 Publication ID: 74592

Anh Tran, John Mitchell, Laura Swiler, Tim Wildey, (2020). An active learning high-throughput microstructure calibration framework for solving inverse structure–process problems in materials informatics Acta Materialia https://doi.org/10.1016/j.actamat.2020.04.054 Publication ID: 73364

Sean DeRosa, Patrick Finley, Melissa Finley, Walter Beyeler, Daniel Krofcheck, Christopher Frazier, Laura Swiler, Teresa Portone, Erin Acquesta, Paula Austin, Drew Levin, Robert Taylor, Katherine Tremba, Monear Makvandi, Ann Hammer, Chad Davis, (2020). COVID-19 Medical Resource Demands https://www.osti.gov/servlets/purl/1807655 Publication ID: 74013

Mamikon Gulian, Laura Swiler, A. Frankel, John Jakeman, Cosmin Safta, (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges https://www.osti.gov/servlets/purl/1812282 Publication ID: 74359

Laura Swiler, Teresa Portone, (2020). Uncertainty Analysis of a COVID-19 Medical Resource Model https://www.osti.gov/servlets/purl/1807392 Publication ID: 73743

Walter Beyeler, Christopher Frazier, Laura Swiler, Teresa Portone, Daniel Krofcheck, (2020). Treatment Model Design and Use https://www.osti.gov/servlets/purl/1783073 Publication ID: 73474

Laura Swiler, Teresa Portone, Walter Beyeler, (2020). Uncertainty analysis of Resource Demand Model for Covid-19 https://doi.org/10.2172/1630395 Publication ID: 73459

Kathryn Maupin, Laura Swiler, (2020). Calibration Propagation and Validation of Model Discrepancy Across Experimental Settings https://www.osti.gov/servlets/purl/1769563 Publication ID: 72925

Nathan Heckman, Thomas Ivanoff, Ashley Roach, Bradley Jared, Daniel Tung, Harlan Brown-Shaklee, Todd Huber, David Saiz, Joshua Koepke, Jeffrey Rodelas, J. Madison, Bradley Salzbrenner, Laura Swiler, Reese Jones, Brad Boyce, (2020). Automated high-throughput tensile testing reveals stochastic process parameter sensitivity Materials Science and Engineering: A https://doi.org/10.1016/j.msea.2019.138632 Publication ID: 66422

Sharlotte Kramer, Dan Bolintineanu, Kevin Long, Robert Waymel, E. Quintana, Reese Jones, Scott Roberts, Justin Newcomer, David Stracuzzi, Laura Swiler, (2019). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories https://www.osti.gov/servlets/purl/1643105 Publication ID: 66123

Ali Pinar, Zachary Benz, Andrea Castillo, Bill Hart, Laura Swiler, Thomas Tarman, (2019). SECURE: An Evidence-based Approach to Cyber Experimentation Proceedings – 2019 Resilience Week, RWS 2019 https://doi.org/10.1109/RWS47064.2019.8971976 Publication ID: 66023

Laura Swiler, Jon Helton, Eduardo Basurto, Dusty Brooks, Paul Mariner, Leslie Moore, Sitakanta Mohanty, Stephen Sevougian, Emily Stein, (2019). Status Report on Uncertainty Quantification and Sensitivity Analysis Tools in the Geologic Disposal Safety Assessment (GDSA) Framework https://doi.org/10.2172/1574263 Publication ID: 66288

Paul Mariner, Bert Debusschere, James Jerden, Daniel Seidl, Laura Swiler, Jonathan Vo, (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment https://www.osti.gov/servlets/purl/1643084 Publication ID: 66069

Laura Swiler, Gianluca Geraci, Bert Debusschere, Jonathan Crussell, (2019). Uncertainty Quantification in Cyber Emulation https://www.osti.gov/servlets/purl/1642954 Publication ID: 65818

D-A Becker, Dusty Brooks, J Govaerts, L Koskinen, S Kucherenko, P Kupiainen, Paul Mariner, B Pastina, E Plischke, K-J Rohlig, Stephen Sevougian, S Spiessl, Emily Stein, Laura Swiler, E Weetjens, (2019). A Joint Exercise on Sensitivity Analysis in Repository Performance Assessment https://www.osti.gov/servlets/purl/1642988 Publication ID: 65894

Paul Mariner, Laura Connolly, Leigh Cunningham, Bert Debusschere, David Dobson, Jennifer Frederick, Glenn Hammond, Spencer Jordan, Tara LaForce, Michael Nole, Heeho Park, Frank Perry, Ralph Rogers, Daniel Seidl, Stephen Sevougian, Emily Stein, Peter Swift, Laura Swiler, Jonathan Vo, Michael Wallace, (2019). Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010 https://doi.org/10.2172/1570094 Publication ID: 65476

Aaron Tallman, Krzysztof Stopka, Laura Swiler, Yan Wang, Surya Kalidindi, David McDowell, (2019). Gaussian-Process-Driven Adaptive Sampling for Reduced-Order Modeling of Texture Effects in Polycrystalline Alpha-Ti JOM https://doi.org/10.1007/s11837-019-03553-1 Publication ID: 70191

Asmeret Naugle, Kiran Lakkaraju, Vamshi Balanaga, Christina Warrender, Stephen Verzi, Michael Livesay, Laura Swiler, (2019). A Complexity-Focused Framework for Comparing and Evaluating Social Simulations https://www.osti.gov/servlets/purl/1645756 Publication ID: 70428

Laura Swiler, (2019). Gaussian Process Models https://www.osti.gov/servlets/purl/1641657 Publication ID: 70487

Brian Adams, Shawn Pautz, Donald Bruss, Brian Franke, Ethan Blansett, Laura Swiler, (2019). Adjoint-enabled Robust Radiation Shield Design https://www.osti.gov/servlets/purl/1641509 Publication ID: 70294

Asmeret Naugle, Laura Swiler, Kiran Lakkaraju, Stephen Verzi, Christina Warrender, Michael Bernard, Vicente Romero, (2019). Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams https://www.osti.gov/servlets/purl/1641241 Publication ID: 69911

Brian Lester, Adam Cook, Harlan Brown-Shaklee, Laura Swiler, Joseph Bishop, (2019). Image-Based Modeling of Ceramic Additive Manufacturing https://www.osti.gov/servlets/purl/1641323 Publication ID: 70037

John Mitchell, Thomas Ivanoff, Daryl Dagel, Bradley Jared, Joshua Koepke, David Saiz, Laura Swiler, (2019). Linking pyrometry to porosity in additive manufactured metals https://www.osti.gov/servlets/purl/1641333 Publication ID: 70077

Paul Mariner, Laura Swiler, Daniel Seidl, Jonathan Vo, (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment https://www.osti.gov/servlets/purl/1640670 Publication ID: 69032

Teresa Portone, John Niederhaus, Laura Swiler, (2019). Extended abstract: Bayesian model selection for metal yield models in high-velocity impact https://www.osti.gov/servlets/purl/1640078 Publication ID: 68627

Paul Mariner, Daniel Seidl, Laura Swiler, Bert Debusschere, Jonathan Vo, Jim Jerden, Jennifer Frederick, (2019). Surrogate Modeling of Fuel Dissolution https://www.osti.gov/servlets/purl/1648825 Publication ID: 68682

Eduardo Basurto, Dusty Brooks, Laura Swiler, Paul Mariner, (2019). Advances in Sensitivity Analysis for the Crystalline Reference Case https://www.osti.gov/servlets/purl/1648819 Publication ID: 68695

Laura Swiler, Michael Stickland, Thomas Tarman, (2019). Design of Experiments for Cyber Experimentation https://www.osti.gov/servlets/purl/1640123 Publication ID: 68704

R. Roach, Bradley Jared, Brad Boyce, Jeremy Lechman, Mario Martinez, Eric Forrest, Samantha Taylor, Amber Dagel, J. Madison, Thomas Ivanoff, Joshua Koepke, Laura Swiler, Bart van Bloemen Waanders, Brett Clark, Theron Rodgers, Kyle Johnson, (2019). Overview of Sandia’s Born Qualified Project https://www.osti.gov/servlets/purl/1644903 Publication ID: 68107

Bradley Jared, Brad Boyce, J. Madison, Jeffrey Rodelas, David Saiz, Joshua Koepke, Todd Huber, Thomas Ivanoff, Bradley Salzbrenner, Burke Kernen, David Moore, Laura Swiler, (2019). The Influence of Defects on the Performance of 316L Stainless Steel from Metal L-PBF https://www.osti.gov/servlets/purl/1648746 Publication ID: 68108

Emily Stein, Laura Swiler, Stephen Sevougian, (2019). Methods of Sensitivity Analysis in Geologic Disposal Safety Assessment (GDSA) Framework https://www.osti.gov/servlets/purl/1639712 Publication ID: 68131

Teresa Portone, John Niederhaus, Jason Sanchez, Laura Swiler, (2019). Bayesian model selection for metal yield models in high-velocity impact https://doi.org/10.1115/HVIS2019-012 Publication ID: 68012

Kiran Lakkaraju, Asmeret Naugle, Stephen Verzi, Laura Swiler, Michael Livesay, Christina Warrender, Michael Bernard, Vicente Romero, (2019). Complexity metrics for Agent Based Models of Social Systems https://www.osti.gov/servlets/purl/1639730 Publication ID: 68092

Laura Swiler, Bert Debusschere, Gianluca Geraci, Jonathan Crussell, (2019). SECURE Uncertainty Quantification Thrust https://www.osti.gov/servlets/purl/1644470 Publication ID: 67345

Gianluca Geraci, Laura Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration of multifidelity UQ strategies for network applications https://www.osti.gov/servlets/purl/1644472 Publication ID: 67348

Gianluca Geraci, Laura Swiler, Jonathan Crussell, Bert Debusschere, (2019). EXPLORATION OF MULTIFIDELITY APPROACHES FOR UNCERTAINTY QUANTIFICATION IN NETWORK APPLICATIONS https://doi.org/10.7712/120219.6352.18797 Publication ID: 67693

Bradley Jared, J. Madison, Thomas Ivanoff, Laura Swiler, David Saiz, Daryl Dagel, John Mitchell, Joshua Koepke, (2019). Defect Detection in Metal Additive Manufacturing Through Application of In-Situ Diagnostics https://www.osti.gov/servlets/purl/1639391 Publication ID: 67457

J. Madison, Daryl Dagel, Thomas Ivanoff, Bradley Jared, Joshua Koepke, John Mitchell, David Saiz, Laura Swiler, (2019). Defect Signatures for Metal Laser Powder-Bed Fusion https://www.osti.gov/servlets/purl/1639421 Publication ID: 67500

Paul Mariner, Laura Swiler, Daniel Seidl, Bert Debusschere, Johnathan Vo, Jennifer Frederick, (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance https://www.osti.gov/servlets/purl/1639277 Publication ID: 67301

Paul Mariner, Laura Swiler, Daniel Seidl, Bert Debusschere, Johnathan Vo, Jennifer Frederick, (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance https://www.osti.gov/servlets/purl/1602117 Publication ID: 67105

Kathryn Maupin, Laura Swiler, (2019). Calibration Propagation and Validation of Model Discrepancy Across Experiments https://www.osti.gov/servlets/purl/1639186 Publication ID: 66235

Kathryn Maupin, Kathryn Maupin, Laura Swiler, Laura Swiler, Nathan Porter, Nathan Porter, (2019). Validation Metrics for Deterministic and Probabilistic Data Journal of Verification, Validation and Uncertainty Quantification https://doi.org/10.1115/1.4042443 Publication ID: 64495

Gianluca Geraci, Laura Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration of multifidelity approaches for uncertainty quantification in network applications Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019 https://doi.org/10.7712/120219.6352.18797 Publication ID: 69241

Emily Stein, Laura Swiler, Stephen Sevougian, (2019). Methods of sensitivity analysis in geologic disposal safety assessment (GDSA) framework International High-Level Radioactive Waste Management 2019, IHLRWM 2019 https://www.osti.gov/servlets/purl/1601750 Publication ID: 67047

Scott Mitchell, Patrick Knupp, A. Abdelkader, M. M. Awad, C Bajaj, M. Deakin, Mohamed Ebeida, D. Engwirda, A. Mahmoud, D. Manocha, S. McKay, J. Owens, C. Park, A. Patney, A. Rushdi, Laura Swiler, L Wei, (2019). Primal-Dual Mesh Optimization with Mathematical Foundations https://www.osti.gov/servlets/purl/1596226 Publication ID: 64491

Scott Mitchell, Patrick Knupp, A. Abdelkader, M. M. Awad, C Bajaj, M. Deakin, Mohamed Ebeida, D. Engwirda, A. Mahmoud, D. Manocha, S. McKay, J. Owens, C. Park, A. Patney, A. Rushdi, Laura Swiler, L Wei, (2019). Primal-Dual Mesh Optimization with Mathematical Foundations https://www.osti.gov/servlets/purl/1596418 Publication ID: 64511

Emily Stein, Laura Swiler, Stephen Sevougian, (2018). GDSA Shale Reference Case: Uncertainty Propagation and Sensitivity Analysis with Dakota https://www.osti.gov/servlets/purl/1761097 Publication ID: 60438

Thomas Ivanoff, J. Madison, Sharlotte Kramer, Laura Swiler, Bradley Jared, (2018). Three-dimensional Characterization of AM Porosity and Correlation to Mechanical Performance https://www.osti.gov/servlets/purl/1806907 Publication ID: 60095

R. Roach, Nicolas Argibay, Kyle Allen, Dorian Balch, Lauren Beghini, Joseph Bishop, Brad Boyce, Judith Brown, Ross Burchard, Michael Chandross, Adam Cook, Christopher DiAntonio, Amber Dressler, Eric Forrest, Kurtis Ford, Thomas Ivanoff, Bradley Jared, Kyle Johnson, Daniel Kammler, Joshua Koepke, Andrew Kustas, Judith Lavin, Nicholas Leathe, Brian Lester, J. Madison, Seethambal Mani, Mario Martinez, Daniel Moser, Theron Rodgers, Daniel Seidl, Harlan Brown-Shaklee, Joshua Stanford, Michael Stender, Joshua Sugar, Laura Swiler, Samantha Taylor, Bradley Trembacki, (2018). Born Qualified Grand Challenge LDRD Final Report https://doi.org/10.2172/1481619 Publication ID: 59393

Paul Mariner, Laura Swiler, Jennifer Frederick, (2018). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance https://www.osti.gov/servlets/purl/1593061 Publication ID: 59579

Emily Stein, Laura Swiler, Stephen Sevougian, (2018). Sensitivity Analysis of Dessel Dataset with SNL’s Dakota https://www.osti.gov/servlets/purl/1594648 Publication ID: 59328

Emily Stein, Laura Swiler, Stephen Sevougian, (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale https://www.osti.gov/servlets/purl/1594335 Publication ID: 59337

Emily Stein, Laura Swiler, Stephen Sevougian, (2018). Comparison of Probabilistic Sensitivity Analysis Methods Applied to a 3-D Reference Case Performance Assessment Dataset from GDSA Framework https://www.osti.gov/servlets/purl/1592668 Publication ID: 59874

Robert Kuether, Brooke Allensworth, Adam Backer, Elton Chen, Remi Dingreville, Eric Forrest, Robert Knepper, Alexander Tappan, Michael Marquez, Jonathan Vasiliauskas, Stephen Rupper, Michael Grant, Lauren Atencio, Tyler Hipple, Danae Maes, Jerilyn Timlin, Tian Ma, Rudy Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso, Timothy Draelos, Thushara Gunda, Otoniel Venezuela, Wesley Brooks, Stephen Anthony, Bryan Carson, Michael Reeves, Matthew Roach, Erin Maines, Judith Lavin, Shaun Whetten, Laura Swiler, (2018). Posters for AA/CE Reception https://www.osti.gov/servlets/purl/1592652 Publication ID: 59884

Thomas Ivanoff, J. Madison, Joshua Koepke, Erich Swaller, Bradley Jared, John Mitchell, Laura Swiler, (2018). 3D Registration of Structure, Melt Pool History and Design in AM 316L Stainless Steel https://www.osti.gov/servlets/purl/1884475 Publication ID: 59634

Laura Swiler, Bart van Bloemen Waanders, Bradley Jared, Joshua Koepke, Shaun Whetten, J. Madison, Thomas Ivanoff, Olivia Jackson, Adam Cook, Harlan Brown-Shaklee, Daniel Kammler, Kyle Johnson, Kurtis Ford, Joseph Bishop, R. Roach, (2018). Data Analysis for the Born Qualified Grand LDRD Project https://doi.org/10.2172/1481602 Publication ID: 59380

Emily Stein, Laura Swiler, Stephen Sevougian, (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale https://www.osti.gov/servlets/purl/1592078 Publication ID: 58929

Joshua Koepke, Bradley Jared, David Saiz, Ryan Hill, Samantha Taylor, Laura Swiler, (2018). Investigating Process Parameters in Laser-Powder Bed Fusion https://www.osti.gov/servlets/purl/1592080 Publication ID: 58935

Klaus-Jurgen Rohlig, Elmar Plischke, Dirk-Alexander Becker, Emily Stein, Joan Govaerts, Bert Debusschere, Lasse Koskinen, Pekka Kupiainen, Christi Leigh, Paul Mariner, Olli Nummi, Barbara Pastina, Stephen Sevougian, Sabine Spiessl, Laura Swiler, Eef Weetjens, Todd Zeitler, (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach https://www.osti.gov/servlets/purl/1568977 Publication ID: 59195

Klaus-Jurgen Rohlig, Elmar Plischke, Dirk-Alexander Becker, Emily Stein, Joan Govaerts, Bert Debusschere, Lasse Koskinen, Pekka Kupiainen, Christi Leigh, Paul Mariner, Olli Nummi, Barbara Pastina, Stephen Sevougian, Sabine Spiessl, Laura Swiler, Eef Weetjens, Todd Zeitler, (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach https://www.osti.gov/servlets/purl/1806880 Publication ID: 59289

Stephen Sevougian, Emily Stein, Laura Swiler, Stephen Sevougian, (2018). Higher-order SIs and Interactions based on PCE (using Dakota) https://www.osti.gov/servlets/purl/1594665 Publication ID: 59317

Laura Swiler, Brian Adams, William Wieselquist, (2018). Sample Generation for Nuclear Data https://doi.org/10.2172/1474254 Publication ID: 59071

Laura Swiler, (2018). Panel on Materials SAMSI Model Uncertainty: Mathematical and Statistical (MUMS) Workshop https://www.osti.gov/servlets/purl/1582191 Publication ID: 63754

Laura Swiler, (2018). Dakota within the NEAMS Workbench https://www.osti.gov/servlets/purl/1581719 Publication ID: 63600

Scott Mitchell, Muhammad Awad, Mohamed Ebeida, Laura Swiler, (2018). Fast Approximate Union Volume in High Dimensions with Line Samples https://doi.org/10.2172/1464880 Publication ID: 63626

Bradley Jared, J. Madison, Thomas Ivanoff, John Mitchell, Erich Schwaller, Joshua Koepke, David Saiz, Daryl Dagel, Harlan Brown-Shaklee, Laura Swiler, (2018). Defect Signatures for Metal Laser Powder Bed Fusion https://www.osti.gov/servlets/purl/1581712 Publication ID: 63670

Scott Mitchell, Mohamed Ebeida, Muhamad Awad, Chonhyon Park, Anjul Patney, Amad Rushdi, Laura Swiler, Dinesh Manocha, Li-Yi Wei, (2018). Spoke-Darts for High-Dimensional Blue-Noise Sampling https://doi.org/10.1145/3194657 Publication ID: 63675

Thomas Ivanoff, J. Madison, Joshua Koepke, Bradley Jared, John Mitchell, Laura Swiler, (2018). 3D Characterization of Porosity in AM 316L SS and its Effect on Mechanical Behavior https://www.osti.gov/servlets/purl/1582148 Publication ID: 63694

Kyle Johnson, Laura Swiler, Theron Rodgers, Bradley Jared, Samuel Subia, Kurtis Ford, Michael Stender, Joseph Bishop, (2018). Advanced Model Predictions of Mechanical Properties and Process Parameter Effects in High Throughput L-PBF Tension Specimens https://www.osti.gov/servlets/purl/1581944 Publication ID: 63706

Thomas Ivanoff, J. Madison, Joshua Koepke, Bradley Jared, John Mitchell, Laura Swiler, (2018). 3D Characterization of Porosity in AM 316L SS and its Effect on Mechanical Behavior https://www.osti.gov/servlets/purl/1806770 Publication ID: 63719

Asmeret Naugle, Kiran Lakkaraju, Stephen Verzi, Laura Swiler, Vicente Romero, Michael Bernard, (2018). A Multi-tiered Complexity Metric https://www.osti.gov/servlets/purl/1570180 Publication ID: 63118

Bradley Jared, David Moore, Sarah Stair, Brad Boyce, J. Madison, Thomas Ivanoff, Jakob Ostien, Kyle Johnson, Jeffrey Rodelas, Bradley Salzbrenner, Laura Swiler, Olivia Jackson, David Saiz, Burke Kernen, Elliott Jost, John Miers, (2018). The Impact of Critical Defects on Material Performance and Science-Based Qualification for Metal Laser Powder Bed Fusion https://www.osti.gov/servlets/purl/1532607 Publication ID: 62927

J. Madison, Thomas Ivanoff, Bradley Jared, Laura Swiler, Stephanie DeJong, Brad Boyce, Jeffrey Rodelas, Bradley Salzbrenner, (2018). Aggregate Presence and Impact of 3D Defect Populations In AM Stainless Steel https://www.osti.gov/servlets/purl/1526367 Publication ID: 62527

Mohamed Ebeida, Laura Swiler, Eric Phipps, Jaideep Ray, (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling https://www.osti.gov/servlets/purl/1524960 Publication ID: 62390

R. Roach, Joseph Bishop, Bradley Jared, David Keicher, Adam Cook, Shaun Whetten, Eric Forrest, Joshua Stanford, Brad Boyce, Kyle Johnson, Theron Rodgers, Kurtis Ford, Mario Martinez, Daniel Moser, Bart van Bloemen Waanders, Michael Chandross, Fadi Abdeljawad, Kyle Allen, Michael Stender, Lauren Beghini, Laura Swiler, Brian Lester, Nicolas Argibay, Harlan Brown-Shaklee, Andrew Kustas, Joshua Sugar, Daniel Kammler, Mark Wilson, (2018). Changing the Engineering Design & Qualification Paradigm in Component Design & Manufacturing (Born Qualified) https://www.osti.gov/servlets/purl/1511987 Publication ID: 61923

Joshua Koepke, Bradley Jared, David Saiz, Erich Schwaller, Daniel Tung, Laura Swiler, (2018). Investigating Melt Pool Dynamics in Laser-Bed Powder Fusion Using a Two-Color Pyrometer https://www.osti.gov/servlets/purl/1806940 Publication ID: 61555

Kathryn Maupin, Laura Swiler, (2018). Calibration and Propagation of Model Discrepancy Across Experiments https://www.osti.gov/servlets/purl/1806944 Publication ID: 61561

Laura Swiler, Brian Adams, (2018). Generating samples from extremely ill-conditioned covariance data https://www.osti.gov/servlets/purl/1508903 Publication ID: 61636

Laura Swiler, (2018). Women in Data Science 2018 https://www.osti.gov/servlets/purl/1498647 Publication ID: 60957

Yan Wang, Laura Swiler, (2018). Special issue on uncertainty quantification in multiscale system design and simulation ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering https://doi.org/10.1115/1.4037447 Publication ID: 57388

Bradley Jared, Joshua Koepke, David Saiz, Laura Swiler, John Mitchell, J. Madison, Thomas Ivanoff, Kevin Webb, Jeffrey Rodelas, Erich Schwaller, (2018). Defect Signatures for Metal Laser Powder Bed Fusion https://www.osti.gov/servlets/purl/1501973 Publication ID: 61124

Laura Swiler, Laura Swiler, Kyle Johnson, (2018). Uncertainty Quantification for Additive Manufacturing Applications https://www.osti.gov/servlets/purl/1502289 Publication ID: 61145

Teresa Portone, John Niederhaus, Jason Sanchez, Laura Swiler, (2018). Application of Bayesian Model Selection for Metal Yield Models using ALEGRA and Dakota https://doi.org/10.2172/1423930 Publication ID: 60834

R. Roach, Bradley Jared, Adam Cook, David Keicher, Bart van Bloemen Waanders, Laura Swiler, Daniel Seidl, Timothy Wildey, Shaun Whetten, (2018). Born Qualified EAB Telecon https://www.osti.gov/servlets/purl/1514821 Publication ID: 60282

Emily Stein, Laura Swiler, Emily Stein, (2018). Dakota applied to GRS mc4096 dataset https://www.osti.gov/servlets/purl/1806476 Publication ID: 58734

Laura Swiler, (2018). Materials Data and Models Across Scales https://www.osti.gov/servlets/purl/1806497 Publication ID: 58772

Laura Swiler, Robert Lefebvre, Brandon Langley, Adam Thompson, (2018). The NEAMS workbench and dakota: Providing an environment for uncertainty analyses AISTech – Iron and Steel Technology Conference Proceedings https://www.osti.gov/servlets/purl/1527259 Publication ID: 62638

Huiying Ren, Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Jie Bao, Laura 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://doi.org/10.1016/j.jappgeo.2017.10.004 Publication ID: 53853

Jaideep Ray, M Huang, H. Ren, J. Bao, Z. Hou, Laura Swiler, (2017). Multi-chain Markov chain Monte Carlo methods for computationally expensive models https://www.osti.gov/servlets/purl/1488741 Publication ID: 54732

Laura Swiler, (2017). Uncertainty Quantification and Data Science in Materials Applications https://www.osti.gov/servlets/purl/1484576 Publication ID: 54417

Laura Swiler, Brian Adams, William Wieselquist, (2017). Treatment of Nuclear Data Covariance Information in Sample Generation https://doi.org/10.2172/1398864 Publication ID: 53337

Angel Urbina, Laura Swiler, (2017). Dakota Overview https://www.osti.gov/servlets/purl/1479232 Publication ID: 53709

Bradley Jared, Brad Boyce, J. Madison, Jakob Ostien, Jeffrey Rodelas, Bradley Salzbrenner, Laura Swiler, Olivia Jackson, David Saiz, Kevin Webb, (2017). Critical Defect Signatures and Impacts on Material Performance for Metal Laser Powder Bed Fusion https://www.osti.gov/servlets/purl/1464714 Publication ID: 57911

J. Madison, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, Laura Swiler, Olivia Jackson, Kevin Webb, (2017). Strength of Micro-Computed Tomography as an Indicator of Process History and Estimator of Mechanical Performance in AM Stainless Steel https://www.osti.gov/servlets/purl/1464898 Publication ID: 57940

Laura Swiler, Jaideep Ray, Laura Swiler, Mohamed Ebeida, Maoyi Huang, Zhangshuan Hou, Jie Bao, huiying Ren, (2017). SAChES: Scalable Adaptive Chain-Ensemble Sampling https://doi.org/10.2172/1380101 Publication ID: 58308

Brad Boyce, Bradley Salzbrenner, Jeffrey Rodelas, Laura Swiler, J. Madison, Bradley Jared, Yu Shen, (2017). Extreme-Value Statistics Reveal Rare Failure-Critical Defects in Additive Manufacturing Advanced Engineering Materials https://doi.org/10.1002/adem.201700102 Publication ID: 52952

J. Madison, Olivia Jackson, Laura Swiler, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, Kevin Webb, Carl Jacques, Joseph Romero, Burke Kernen, David Moore, (2017). Corroborating Tomographic Defect Metrics with Processing Parameters & Mechanical Response in Metal AM https://www.osti.gov/servlets/purl/1462531 Publication ID: 57415

Laura Swiler, John Stephens, (2017). UQ Theories Principles and Tools: Dakota Topics https://www.osti.gov/servlets/purl/1463778 Publication ID: 57683

Laura Swiler, Kyle Johnson, (2017). Uncertainty Quantification for Additive Manufacturing Applications across scales https://www.osti.gov/servlets/purl/1460157 Publication ID: 57181

Laura Swiler, Robert Lefebvre, Brandon Langley, Adam Thompson, (2017). Integration of Dakota into the NEAMS Workbench https://doi.org/10.2172/1372616 Publication ID: 57450

Kathryn Maupin, Laura Swiler, (2017). Model Discrepancy Calibration Across Experiments https://www.osti.gov/servlets/purl/1506918 Publication ID: 57332

J. Madison, Olivia Jackson, Laura Swiler, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Relating Tomographic Defect Metrics to Mechanical Performance in Additively Manufactured Stainless Steel https://www.osti.gov/servlets/purl/1456768 Publication ID: 56854

Bradley Salzbrenner, Brad Boyce, Jay Carroll, Jeffrey Rodelas, Yu-Lin Shen, J. Madison, Bradley Jared, Laura Swiler, (2017). High Throughput Stochastic Tensile Performance of Additively Manufactured Stainless Steels https://doi.org/10.1016/j.jmatprotec.2016.10.023 Publication ID: 56955

Kathryn Maupin, Laura Swiler, (2017). Validation Metrics https://www.osti.gov/servlets/purl/1476812 Publication ID: 56972

Eric Keiter, Laura Swiler, Ian Wilcox, (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation https://www.osti.gov/servlets/purl/1367262 Publication ID: 56425

Eric Keiter, Laura Swiler, Ian Wilcox, (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation https://doi.org/10.1007/978-3-319-75538-0_6 Publication ID: 56209

Laura Swiler, (2017). Uncertainty Quantification with thoughts on multiscale materials applications https://www.osti.gov/servlets/purl/1457979 Publication ID: 56274

Russell Hooper, Kathryn Maupin, Laura Swiler, Brian Williams, Brian Adams, Russell Hooper, (2017). DAKOTA Update: Capabilities & Applications https://www.osti.gov/servlets/purl/1458046 Publication ID: 56549

J. Madison, Laura Swiler, Olivia Jackson, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Quantifying Defect Presence in an Additively Manufactured Precipitation Hardened 17-4 Stainless Steel https://www.osti.gov/servlets/purl/1456658 Publication ID: 55965

Shawn Pautz, Brian Franke, Laura Swiler, Brian Adams, Ethan Blansett, (2017). Adjoint-Based Sensitivities for Optimization of Satellite Electron/Proton Shields https://www.osti.gov/servlets/purl/1456470 Publication ID: 55750

Shawn Pautz, Brian Adams, Laura Swiler, Brian Franke, Ethan Blansett, (2017). Adjoint-enabled Uncertainty Quantification for Satellite Shield Design https://www.osti.gov/servlets/purl/1456472 Publication ID: 55752

J. Madison, Laura Swiler, Olivia Jackson, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2017). Identification of Defect Signatures in an Additively Manufactured Precipitation-Hardened Stainless Steel https://www.osti.gov/servlets/purl/1425307 Publication ID: 55150

Bradley Salzbrenner, Jeffrey Rodelas, J. Madison, Bradley Jared, Laura Swiler, Yu Shen, Brad Boyce, (2017). High-throughput stochastic tensile performance of additively manufactured stainless steel Journal of Materials Processing Technology https://doi.org/10.1016/j.jmatprotec.2016.10.023 Publication ID: 51834

Kathryn Maupin, Laura Swiler, (2017). Model Discrepancy in Dakota https://www.osti.gov/servlets/purl/1425297 Publication ID: 55044

Kathryn Maupin, Laura Swiler, (2017). Validation Metrics for Deterministic and Probabilistic Data https://doi.org/10.2172/1494178 Publication ID: 54811

Brian Adams, Shawn Pautz, Laura Swiler, Brian Franke, Ethan Blansett, Donald Bruss, (2017). Adjoint-enabled Optimization and UQ for Radiation Shield Design https://www.osti.gov/servlets/purl/1424860 Publication ID: 55115

Eric Vugrin, Timothy Trucano, Laura Swiler, Patrick Finley, Tatiana Flanagan, Asmeret Naugle, Jeffrey Tsao, Stephen Verzi, (2017). Recommended Research Directions for Improving the Validation of Complex Systems Models https://doi.org/10.2172/1367494 Publication ID: 54940

Shawn Pautz, Brian Franke, Brian Adams, Laura Swiler, Ethan Blansett, (2017). Adjoint-Based Sensitivities for Optimization of Satellite Electron/Proton Shields https://www.osti.gov/servlets/purl/1420225 Publication ID: 54450

Jaideep Ray, Laura Swiler, Jie Bao, Zhangshuan Hou, Maoyi Huang, (2016). Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model https://www.osti.gov/servlets/purl/1524688 Publication ID: 48134

Laura Swiler, Vicente Romero, (2016). A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods (Presentation) https://www.osti.gov/servlets/purl/1412084 Publication ID: 48076

Mohamed Ebeida, Scott Mitchell, Laura Swiler, Vicente Romero, Ahmad Rushdi, (2016). POF-Darts: Geometric adaptive sampling for probability of failure Reliability Engineering and System Safety https://doi.org/10.1016/j.ress.2016.05.001 Publication ID: 50777

Brian Adams, Kayla Coleman, Russell Hooper, Bassam Khuwaileh, Allison Lewis, Ralph Smith, Laura Swiler, Paul Turinsky, Brian Williams, (2016). User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota https://doi.org/10.2172/1333381 Publication ID: 47788

Olivia Jackson, J. Madison, Christopher Finfrock, Laura Swiler, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2016). Correlating Defect Populations with Mechanical Performance in AM Tensile Samples of PH 17-4 https://www.osti.gov/servlets/purl/1404795 Publication ID: 47244

Eric Keiter, Laura Swiler, Ian Wilcox, (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation https://www.osti.gov/servlets/purl/1398359 Publication ID: 52620

Eric Keiter, Laura Swiler, Ian Wilcox, (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation https://doi.org/10.1007/978-3-319-75538-0_6 Publication ID: 52379

Eric Keiter, Laura Swiler, Thomas Russo, Ian Wilcox, (2016). Sensitivity Analysis in Xyce https://doi.org/10.2172/1562422 Publication ID: 52448

Eric Keiter, Laura Swiler, Ian Wilcox, (2016). Advanced Uncertainty Quantification Methods for Circuit Simulation: Final Report LDRD 2016-0845 https://doi.org/10.2172/1562425 Publication ID: 52449

Bradley Jared, Brad Boyce, J. Madison, Jakob Ostien, Jeffrey Rodelas, Bradley Salzbrenner, Laura Swiler, Olivia Jackson, (2016). Quantifying Material Performance & Defect Signatures in Laser Powder Bed Fusion https://www.osti.gov/servlets/purl/1422073 Publication ID: 51534

J. Madison, Christopher Finfrock, Laura Swiler, Olivia Jackson, Brad Boyce, Bradley Jared, Jeffrey Rodelas, Bradley Salzbrenner, (2016). Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples https://www.osti.gov/servlets/purl/1375096 Publication ID: 51575

Jeffrey Tsao, Timothy Trucano, Stephen Kleban, Asmeret Naugle, Stephen Verzi, Laura Swiler, C. Johnson, Mark Smith, Tatiana Flanagan, Eric Vugrin, Kasimir Gabert, Matthew Lave, Wei Chen, Daniel DeLaurentis, Alfred Hubler, Bill Oberkampf, (2016). Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation & Uncertainty Quantification https://doi.org/10.2172/1431458 Publication ID: 51944

Laura Swiler, (2016). VVUQ Best Practices in Computational Science/Engineering Problems with some thoughts about extensions/limits to Complex Systems Models https://www.osti.gov/servlets/purl/1368493 Publication ID: 50630

Jaideep Ray, Laura Swiler, Maoyi Huang, Zhangshuan Hou, (2016). A parallel Markov chain Monte Carlo method for calibrating computationally expensive models https://www.osti.gov/servlets/purl/1422090 Publication ID: 50021

Maoyi Huang, Zhangshuan Hou, Jaideep Ray, Laura Swiler, L Leung, (2016). An Uncertainty Quantification Framework for Land Models https://www.osti.gov/servlets/purl/1364682 Publication ID: 50071

Laura Swiler, Jaideep Ray, (2016). A Parallel MCMC Method https://www.osti.gov/servlets/purl/1364726 Publication ID: 50134

Laura Swiler, (2016). Approaches for representing and propagating uncertainty that will be useful for multi-scale modeling https://www.osti.gov/servlets/purl/1239361 Publication ID: 46932

Ahmad Rushdi, Laura Swiler, Scott Mitchell, John Jakeman, Eric Phipps, Mohamed Ebeida, (2016). VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting https://doi.org/10.1615/Int.J.UncertaintyQuantification.2016018697 Publication ID: 46599

Mohamed Ebeida, Ahmad Rushdi, Laura Swiler, Scott Mitchell, John Owens, Saman Ashkiani, Anjul Patney, (2016). Recursive k-d Darts for Exploring High-Dimensional Spaces https://www.osti.gov/servlets/purl/1514296 Publication ID: 46601

Jaideep Ray, Laura 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 https://www.osti.gov/servlets/purl/1342355 Publication ID: 46878

Kyle Gamble, Laura Swiler, (2016). Uncertainty quantification and sensitivity analysis applications to fuel performance modeling Top Fuel 2016: LWR Fuels with Enhanced Safety and Performance https://www.osti.gov/servlets/purl/1420256 Publication ID: 49982

Bradley Jared, Brad Boyce, J. Madison, Jakob Ostien, Jeffrey Rodelas, Bradley Salzbrenner, Laura Swiler, Olivia Jackson, David Saiz, (2016). The challenges and consequences of material uncertainties in metal laser powder bed fusion Proceedings – 32nd ASPE Annual Meeting https://www.osti.gov/servlets/purl/1480387 Publication ID: 53828

Vicente Romero, Laura Swiler, Mohamed Ebeida, Scott Mitchell, Matthew Glickman, (2016). Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure https://www.osti.gov/servlets/purl/1339060 Publication ID: 46586

Jie Bao, huiying Ren, Maoyi Huang, Jaideep Ray, Laura Swiler, (2015). A Scalable Multi-chain Markov Chain Monte Carlo Method for Inverting Subsurface Hydraulic and Geological Properties https://www.osti.gov/servlets/purl/1339205 Publication ID: 42000

Jaideep Ray, Laura Swiler, Maoyi Huang, Zhangshuan Hou, (2015). Bayesian calibration of the Community Land Model using a multi-chain Markov chain Monte Carlo method https://www.osti.gov/servlets/purl/1530497 Publication ID: 41937

Scott Mitchell, Mohamed Ebeida, Vicente Romero, Laura Swiler, Ahmad Rushdi, Ahmad Abdelkader, (2015). Efficient Probability of Failure Calculations for QMU using Computational Geometry LDRD 13-0144 Final Report https://doi.org/10.2172/1221522 Publication ID: 45583

Laura Swiler, Kyle Gamble, Rodney Schmidt, Richard Williamson, (2015). Sensitivity Analysis of OECD Benchmark Tests in BISON https://doi.org/10.2172/1227986 Publication ID: 46030

Brian Adams, Patricia Hough, Laura Swiler, (2015). Dakota Software Training: Model Calibration https://www.osti.gov/servlets/purl/1298884 Publication ID: 45058

Laura Swiler, Michael Eldred, Brian Adams, (2015). Uncertainty Quantification Methods in the Dakota Toolkit https://www.osti.gov/biblio/1331537 Publication ID: 45288

Laura Swiler, Brian Adams, (2015). Bayesian Calibration in Dakota https://www.osti.gov/biblio/1514130 Publication ID: 45052

Laura Swiler, Vicente Romero, (2015). JANNAF V&V Guide: A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods for Computational Applications https://www.osti.gov/biblio/1214304 Publication ID: 43854

Laura Swiler, (2015). VVUQ Best Practices in NEAMS https://www.osti.gov/servlets/purl/1257691 Publication ID: 43985

Laura Swiler, (2015). Gaussian Process Models Tutorial https://www.osti.gov/servlets/purl/1257692 Publication ID: 43986

Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, Z. Hou, M. Huang, Khachik Sargsyan, Laura Swiler, (2015). Bayesian calibration of engineering and scientific models using surrogates https://www.osti.gov/servlets/purl/1253310 Publication ID: 43426

Eric Keiter, Laura Swiler, (2015). Uncertainty Quantification Methods for Electrical Simulation https://www.osti.gov/servlets/purl/1248668 Publication ID: 42933

Aidan Thompson, Laura Swiler, C. Trott, Stephen Foiles, G. Tucker, (2015). Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials Journal of Computational Physics https://doi.org/10.1016/j.jcp.2014.12.018 Publication ID: 38482

Jaideep Ray, Laura Swiler, Maoyi Huang, jason hou, (2015). Use of Parallel MCMC Methods with the Community Land Model https://www.osti.gov/servlets/purl/1246298 Publication ID: 42504

Mark Ivey, David Robinson, Mark Boslough, George Backus, Kara Peterson, Bart van Bloemen Waanders, Laura Swiler, Darin Desilets, Rhonda Reinert, (2015). Arctic Climate Systems Analysis https://doi.org/10.2172/1177602 Publication ID: 42803

Zhangshuan Hou, Maoyi Huang, Jaideep Ray, Laura Swiler, (2015). Quantification of structural uncertainty in a land surface model https://www.osti.gov/servlets/purl/1331643 Publication ID: 42564

Jaideep Ray, Laura Swiler, Maoyi Huang, Hou Zhangshuan, (2015). Estimating a model discrepancy term for the Community Land Model using latent heat and runoff observations https://www.osti.gov/servlets/purl/1240842 Publication ID: 42326

Keith Dalbey, Brian Adams, John Stephens, Laura Swiler, (2015). Dakota Sensitivity Analysis and Uncertainty Quantification with Examples https://www.osti.gov/servlets/purl/1244466 Publication ID: 42678

Z Hou, Jaideep Ray, M Huang, Laura Swiler, (2015). Applicability of surrogate-based MCMC-Bayesian inversion of CLM at flux tower sites with various field conditions https://www.osti.gov/servlets/purl/1504327 Publication ID: 41465

Michael Eldred, Laura Swiler, Brian Adams, J. Jakeman, (2015). Overview of selected DOE/NNSA predictive science initiatives: The predictive science academic alliance program and the DAKOTA project 53rd AIAA Aerospace Sciences Meeting https://doi.org/10.2514/6.2015-0500 Publication ID: 39970

Cosmin Safta, Khachik Sargsyan, Habib Najm, Kenny Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2015). Probabilistic methods for sensitivity analysis and calibration in the NASA challenge problem Journal of Aerospace Information Systems https://doi.org/10.2514/1.I010256 Publication ID: 40146

Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Laura Swiler, (2014). Using runoff data to calibrate the Community Land Model https://www.osti.gov/servlets/purl/1319743 Publication ID: 39826

Laura Swiler, (2014). Sensitivity Analysis of the Gap Heat Transfer Model in BISON https://www.osti.gov/servlets/purl/1242739 Publication ID: 39695

Mohamed Ebeida, Scott Mitchell, Laura Swiler, Vicente Romero, (2014). POF-Darts: Geometric Adaptive Sampling for Probability of Failure SIAM Journal on Uncertainty Quantification https://www.osti.gov/biblio/1184488 Publication ID: 38951

Laura Swiler, Rodney Schmidt, Richard Williamson, Danielle Perez, (2014). Sensitivity Analysis of the Gap Heat Transfer Model in BISON https://doi.org/10.2172/1160301 Publication ID: 38963

Aidan Thompson, Peter Schultz, Paul Crozier, Stan Moore, Laura Swiler, John Stephens, Christian Trott, Stephen Foiles, Garritt Tucker, (2014). Automated Algorithms for Quantum-Level Accuracy in Atomistic Simulations: LDRD Final Report https://doi.org/10.2172/1158668 Publication ID: 38622

Brian Adams, John Jakeman, Laura Swiler, John Stephens, Dena Vigil, Timothy Wildey, Lara Bauman, William Bohnhoff, Keith Dalbey, John Eddy, Mohamed Ebeida, Michael Eldred, Patricia Hough, Kenneth Hu, (2014). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis : https://doi.org/10.2172/1177077 Publication ID: 41017

Brian Adams, John Jakeman, Laura Swiler, John Stephens, Dena Vigil, Timothy Wildey, Lara Bauman, William Bohnhoff, Keith Dalbey, John Eddy, Mohamed Ebeida, Michael Eldred, Patricia Hough, Kenneth Hu, (2014). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual https://doi.org/10.2172/1177048 Publication ID: 40814

Katrina Groth, Laura Swiler, Susan Adams, (2014). A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods Reliability Engineering and System Safety https://doi.org/10.1016/j.ress.2014.03.010 Publication ID: 32757

Keith Dalbey, Laura Swiler, (2014). Gaussian Process Adaptive Importance Sampling (GPAIS) https://www.osti.gov/servlets/purl/1141661 Publication ID: 40220

Jaideep Ray, Laura Swiler, (2014). Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data https://www.osti.gov/servlets/purl/1141487 Publication ID: 40224

Laura Swiler, Timothy Wildey, (2014). Sensitivity of precipitation to parameter values in the community atmosphere model version 5 https://doi.org/10.2172/1204103 Publication ID: 37049

Jaideep Ray, Laura Swiler, (2014). Estimation of Structural Error in the Community Land Model Using Latent Heat Observations https://www.osti.gov/servlets/purl/1141762 Publication ID: 40149

Stephen Foiles, Aidan Thompson, Laura Swiler, Christian Trott, (2014). A New Approach for Interatomic Potentials: Application to Tantalum https://www.osti.gov/servlets/purl/1140507 Publication ID: 37159

Jaideep Ray, Laura Swiler, Khachik Sargsyan, (2014). BAYESIAN CALIBRATION OF THE COMMUNITY LAND MODEL USING SURROGATES SIAM Journal of Uncertainty Quantification https://www.osti.gov/biblio/1141039 Publication ID: 37288

Laura Swiler, Jaideep Ray, Khachik Sargsyan, (2014). Bayesian calibration of hydrological parameters in the Community Land Model (CODA Presentation) https://www.osti.gov/servlets/purl/1140888 Publication ID: 37304

Jaideep Ray, Laura Swiler, (2014). Bayesian calibration of the Community Land Model using surrogates https://doi.org/10.2172/1204075 Publication ID: 37070

Laura Swiler, Patricia Hough, Peter Qian, Xu Xu, Curtis Storlie, Herbert Lee, (2014). Surrogate models for mixed discrete-continuous variables Studies in Computational Intelligence https://doi.org/10.2172/1055621 Publication ID: 26002

Khachik Sargsyan, Habib Najm, Kamaljit Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2014). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis https://doi.org/10.2514/6.2014-1497 Publication ID: 36802

Khachik Sargsyan, Habib Najm, Kamaljit Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2013). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis https://doi.org/10.2514/6.2014-1497 Publication ID: 31866

Vicente Romero, Laura Swiler, Angel Urbina, (2013). A comparison of methods for representing sparsely sampled random quantities https://doi.org/10.2172/1096268 Publication ID: 33913

Laura Swiler, (2013). DAKOTA reliability methods applied to RAVEN/RELAP-7 https://doi.org/10.2172/1096510 Publication ID: 36014

Laura Swiler, (2013). Sensitivity Analyses using BISON https://www.osti.gov/servlets/purl/1115040 Publication ID: 35795

V. Weirs, George Orient, Laura Swiler, Vicente Romero, Brian Carnes, (2013). Proposal for the 2014 Verification and Validation Challenge Workshop https://www.osti.gov/servlets/purl/1106789 Publication ID: 34693

Laura Swiler, (2013). Sensitivity analysis of the fission gas behavior model in BISON https://doi.org/10.2172/1089870 Publication ID: 33542

V. Weirs, Brian Carnes, Kenneth Hu, George Orient, Vicente Romero, Laura Swiler, (2013). Proposal for FY14 V&V Challenge Workshop https://www.osti.gov/servlets/purl/1079791 Publication ID: 33646

Aidan Thompson, Christian Trott, Laura Swiler, Garritt Tucker, Stephen Foiles, Steven Plimpton, (2013). Quantum-Accurae LAMMPS SNAP Simulations on Petascale Platforms https://www.osti.gov/servlets/purl/1661293 Publication ID: 33650

Keith Dalbey, Laura Swiler, (2013). Gaussian Process Adaptive Importance Sampling International Journal for Uncertainty Quantification https://www.osti.gov/biblio/1080020 Publication ID: 33716

Laura Swiler, (2013). Calibration of a Fuel Relocation Model in BISON https://www.osti.gov/servlets/purl/1083827 Publication ID: 33317

Vicente Romero, Laura Swiler, Angel Urbina, (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables – Final Results https://www.osti.gov/biblio/1073212 Publication ID: 32812

George Orient, Brian Carnes, Vicente Romero, Laura Swiler, V. Weirs, (2013). Proposal for FY14 V&V Challenge Workshop https://www.osti.gov/servlets/purl/1115651 Publication ID: 33324

Vicente Romero, Laura Swiler, Angel Urbina, (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables – Final Results https://www.osti.gov/servlets/purl/1115997 Publication ID: 32824

Brian Adams, Michael Eldred, Laura Swiler, (2013). Dakota: Advanced Exploration of Simulations https://www.osti.gov/servlets/purl/1660832 Publication ID: 33095

Aidan Thompson, Peter Schultz, Laura Swiler, Christian Trott, Garritt Tucker, Stephen Foiles, (2013). Automated generation of quantum-accurate classical interatomic potentials for metals and semiconductors https://www.osti.gov/biblio/1069031 Publication ID: 32541

Katrina Groth, Laura Swiler, (2013). Use of limited data to construct Bayesian networks for probabilistic risk assessment https://doi.org/10.2172/1095131 Publication ID: 32505

Vicente Romero, Laura Swiler, Angel Urbina, (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables ? More Results https://www.osti.gov/biblio/1064330 Publication ID: 32284

Laura Swiler, (2013). Calibration of a Fuel Relocation Model in BISON https://www.osti.gov/servlets/purl/1116075 Publication ID: 31308

Laura Swiler, (2013). Uncertainty Quantification: UQ Methods DAKOTA Nuclear Energy Applications https://www.osti.gov/biblio/1063324 Publication ID: 31403

Laura Swiler, Vicente Romero, (2012). A Survey of Advanced Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods https://www.osti.gov/biblio/1063371 Publication ID: 26233

V. Weirs, James Kamm, Laura Swiler, Stefano Tarantola, Marco Ratto, Brian Adams, William Rider, Michael Eldred, (2012). Sensitivity analysis techniques applied to a system of hyperbolic conservation laws Reliability Engineering and System Safety https://www.osti.gov/biblio/1021143 Publication ID: 19071

Timothy Wildey, Laura Swiler, (2012). Progress on Calibration of 2-Degree Simulations from CAM5 https://www.osti.gov/servlets/purl/1648264 Publication ID: 30744

Keith Dalbey, Laura Swiler, (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) Proposed for publication in International Journal for Uncertainty Quantification. https://www.osti.gov/biblio/1061226 Publication ID: 30115

Katrina Groth, Laura Swiler, (2012). Using limited data to construct Bayesian Networks for Human Reliability Analysis https://www.osti.gov/servlets/purl/1650253 Publication ID: 29040

Keith Dalbey, Laura Swiler, (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) Proposed for publication in Physical Review Letters. https://www.osti.gov/biblio/1064102 Publication ID: 28744

Katrina Groth, Laura Swiler, (2012). SPAR-H Bayesian Network for predicting Human Error Probabilities with missing observations https://www.osti.gov/biblio/1064236 Publication ID: 28662

Keith Dalbey, Laura Swiler, (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) https://www.osti.gov/biblio/1067635 Publication ID: 28336

Kenneth Hu, Laura Swiler, (2012). Bayesian Model Selection on Undetermined Nuclear Reactor Models https://www.osti.gov/servlets/purl/1117292 Publication ID: 27806

Brian Adams, Laura Swiler, Michael Eldred, (2012). Practical UQ for Engineering Applications with DAKOTA https://www.osti.gov/servlets/purl/1117563 Publication ID: 27403

Laura Swiler, (2012). Evaluation of Mixed Continuous-Discrete Surrogate Approaches https://www.osti.gov/servlets/purl/1078615 Publication ID: 27423

Laura Swiler, Kenneth Hu, (2012). Bayesian Model Selection Between Underdetermined Nuclear Reactor Models https://www.osti.gov/servlets/purl/1117803 Publication ID: 27304

Laura Swiler, Keith Dalbey, (2012). Importance Sampling for Rare Event Estimation with Computer Experiments https://www.osti.gov/biblio/1068512 Publication ID: 27337

Genetha Gray, William Hart, Patricia Hough, Ojas Parekh, Cynthia Phillips, John Siirola, Laura Swiler, Jean-Paul Watson, (2012). Optimization of large-scale heterogeneous system-of-systems models https://doi.org/10.2172/1034869 Publication ID: 26013

Katrina Groth, Laura Swiler, (2012). Use of a SPAR-H Bayesian Network for predicting Human Error Probabilities with missing observations https://www.osti.gov/biblio/1062822 Publication ID: 26054

Vicente Romero, Laura Swiler, Angel Urbina, (2011). An initial comparison of methods for representing and aggregating experimental uncertainties involving sparse data Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference https://www.osti.gov/servlets/purl/1108658 Publication ID: 22066

Angel Urbina, Laura Swiler, (2011). Decision making under epistemic uncertainty for a complex mechanical system Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference https://www.osti.gov/biblio/1022968 Publication ID: 19561

Brian Adams, William Bohnhoff, Keith Dalbey, John Eddy, Michael Eldred, Patricia Hough, Sophia Lefantzi, Laura Swiler, Dena Vigil, (2011). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis https://doi.org/10.2172/1031910 Publication ID: 25582

Laura Swiler, (2011). Uncertainty Quantification: Part 3. Presentation at the Risk Informed Safety Margin Characterization workshop https://www.osti.gov/servlets/purl/1111694 Publication ID: 25314

Laura Swiler, Angel Urbina, (2011). First-order reduced-space formulations for parameter estimation within the frameworks of steady state dynamics: The elastic and viscoelastic case Inverse Problems https://www.osti.gov/biblio/1106825 Publication ID: 24666

Laura Swiler, (2011). Multiple Model Inference: Calibration Selection and Prediction with Multiple Models https://www.osti.gov/servlets/purl/1109382 Publication ID: 24676

Laura Swiler, Michael Eldred, (2011). Reliability Methods: Determining small failure probabilities https://www.osti.gov/servlets/purl/1106872 Publication ID: 24062

Laura Swiler, Michael Eldred, (2011). “Mixed” Epistemic-Aleatory UQ using Stochastic Expansion methods https://www.osti.gov/servlets/purl/1120319 Publication ID: 23188

Patricia Hough, Laura Swiler, (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches https://www.osti.gov/servlets/purl/1108098 Publication ID: 22749

Laura Swiler, Angel Urbina, (2011). Multiple Model Inference: Calibration and Selection with Multiple Models https://www.osti.gov/servlets/purl/1108237 Publication ID: 22558

Vicente Romero, Laura Swiler, Angel Urbina, (2011). An Initial Comparison of Methods for Representing and Aggregating Experimental Uncertainties involving Sparse Data https://www.osti.gov/servlets/purl/1108523 Publication ID: 22203

Brian Adams, Michael Eldred, Laura Swiler, (2011). Managing Complexity in Simulation-Based Uncertainty Quantification https://www.osti.gov/biblio/1120645 Publication ID: 22021

Laura Swiler, Angel Urbina, Angel Urbina, (2011). Multiple Model Inference: Calibration Selection and Prediction with Multiple Models https://www.osti.gov/servlets/purl/1120608 Publication ID: 22031

Patricia Hough, Laura Swiler, (2011). Mixed Variable Surrogate Models for Engineering Analysis https://www.osti.gov/servlets/purl/1108818 Publication ID: 21987

Laura Swiler, Patricia Hough, (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches https://www.osti.gov/servlets/purl/1120662 Publication ID: 21692

Laura Swiler, (2011). Uncertainty Quantification: Introduction https://www.osti.gov/servlets/purl/1110595 Publication ID: 21227

V. Weirs, James Kamm, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a model shock problem https://www.osti.gov/biblio/1035999 Publication ID: 21030

V. Weirs, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a model shock problem https://www.osti.gov/biblio/1035611 Publication ID: 20964

Brian Adams, Keith Dalbey, Laura Swiler, (2010). Surrogate modeling with surfpack https://www.osti.gov/biblio/1035640 Publication ID: 20899

Laura Swiler, Patrick Knupp, (2010). Predictive Capability Maturity Model (PCMM) https://www.osti.gov/biblio/1028336 Publication ID: 20524

James Kamm, V. Weirs, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). A Sensitivity Analysis of the Gas Dynamics Equations https://www.osti.gov/servlets/purl/1121790 Publication ID: 20131

V. Weirs, James Kamm, Laura Swiler, Brian Adams, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a model shock problem https://www.osti.gov/biblio/1027079 Publication ID: 20037

Laura Swiler, Angel Urbina, (2010). Multiple model inference https://www.osti.gov/biblio/1021608 Publication ID: 19278

V. Weirs, Laura Swiler, Brian Adams, James Kamm, William Rider, Michael Eldred, (2010). Sensitivity analysis techniques applied to a system of hyperbolic conservation laws. Part I https://www.osti.gov/biblio/1021144 Publication ID: 19070

William Proctor, Laura Swiler, Michael Eldred, (2010). Global sensitivity analysis https://www.osti.gov/biblio/1020435 Publication ID: 18552

Brian Adams, Keith Dalbey, Michael Eldred, Laura Swiler, William Bohnhoff, John Eddy, Karen Haskell, Patricia Hough, (2010). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user’s manual https://doi.org/10.2172/991842 Publication ID: 17823

Brian Adams, Keith Dalbey, Michael Eldred, Laura Swiler, William Bohnhoff, John Eddy, Karen Haskell, Patricia Hough, (2010). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user’s reference manual https://doi.org/10.2172/991841 Publication ID: 17824

Brian Adams, Keith Dalbey, Michael Eldred, Laura Swiler, William Bohnhoff, John Eddy, Karen Haskell, Patricia Hough, (2010). DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, developers manual https://doi.org/10.2172/991840 Publication ID: 17825

Laura Swiler, (2010). Uncertainty Quantification R&D with Applications to Nuclear Weapons https://www.osti.gov/servlets/purl/1681096 Publication ID: 18343

Laura Swiler, (2010). Importance sampling : promises and limitations https://www.osti.gov/biblio/992774 Publication ID: 17831

Laura Swiler, (2010). Importance sampling : promises and limitations https://www.osti.gov/biblio/992772 Publication ID: 17835

Laura Swiler, Michael Eldred, Brian Adams, (2010). Uncertainty Quantification: Lecture for TEDS CLASS ESP700 https://www.osti.gov/servlets/purl/1694488 Publication ID: 17563

Michael Eldred, Laura Swiler, (2010). Mixed Aleatory-Epistemic Uncertainty Quantification with Stochastic Expansions and Optimization-Based Interval Estimation Reliability Engineering and System Safety https://www.osti.gov/biblio/1114165 Publication ID: 17613

Michael Eldred, Laura Swiler, (2009). Efficient algorithms for mixed aleatory-epistemic uncertainty quantification with application to radiation-hardened electronics. Part I, algorithms and benchmark results https://doi.org/10.2172/972887 Publication ID: 16708

Brian Adams, Laura Swiler, Michael Eldred, (2009). DAKOTA Training 2008: Optimization and Calibration https://www.osti.gov/servlets/purl/1696903 Publication ID: 15683

Thomas Paez, Laura Swiler, (2008). Probabilistic Methods in Model Validation https://www.osti.gov/servlets/purl/1142297 Publication ID: 15178

Laura Swiler, Thomas Paez, Randy Mayes, (2008). Epistemic uncertainty quantification tutorial https://www.osti.gov/biblio/950891 Publication ID: 14991

Laura Swiler, Brian Adams, Michael Eldred, (2008). Model Calibration under Uncertainty: Matching Distribution Information Presentation https://www.osti.gov/servlets/purl/1142385 Publication ID: 14753

Laura Swiler, Kay Vugrin, (2007). Calibration under Uncertainty: Comparison of Least-Squares and Bayesian methods https://www.osti.gov/servlets/purl/1147402 Publication ID: 11193

Francesca McFadden, Vicente Romero, Laura Swiler, (2007). Effective Robust Design Strategy employing Ordinal Variance Minimization and Adaptive Mean Constraint Satisfaction https://www.osti.gov/servlets/purl/1147657 Publication ID: 11035

Jaewook Joo, Steven Plimpton, Laura Swiler, Jean Faulon, (2007). Sensitivity Analysis of NF-?B signaling network The Annals of New York Academy of Sciences https://www.osti.gov/biblio/1147524 Publication ID: 10910

Kay Vugrin, Randall Roberts, Laura Swiler, (2007). Confidence Region Estimation for Groundwater Parameter Identification Problems https://www.osti.gov/servlets/purl/1147659 Publication ID: 10991

Laura Swiler, Anthony Giunta, (2007). Aleatory and Epistemic Uncertainty Quantification for Engineering Applications https://www.osti.gov/servlets/purl/1147526 Publication ID: 10698

Laura Swiler, Anthony Giunta, (2007). Aleatory and epistemic uncertainty quantification for engineering applications https://www.osti.gov/biblio/908070 Publication ID: 9678

Laura Swiler, Wesley Fan, C. Turner, W. Oberkampf, (2007). Uncertainty analysis for electrical cables in radiation environments https://www.osti.gov/biblio/908854 Publication ID: 9708

Vicente Romero, R. Slepoy, Laura Swiler, A. Giunta, T. Krishnamurthy, (2006). Error estimation approaches for progressive response surfaces -more results Conference Proceedings of the Society for Experimental Mechanics Series https://www.osti.gov/servlets/purl/1465858 Publication ID: 6405

Laura Swiler, Patricia Hough, Genetha Gray, Michael Chiesa, Robert Heaphy, Stephen Thomas, Timothy Trucano, (2006). Penetrator reliability investigation and design exploration : from conventional design processes to innovative uncertainty-capturing algorithms https://doi.org/10.2172/966591 Publication ID: 8599

Shannon Brown, Joshua Griffin, Patricia Hough, Tamara Kolda, Monica Martinez-Canales, Pamela Williams, Brian Adams, Daniel Dunlavy, Laura Swiler, Anthony Giunta, William Hart, Jean-Paul Watson, John Eddy, (2006). Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual https://doi.org/10.2172/896280 Publication ID: 7424

Laura Swiler, Anthony Giunta, William Hart, Jean-Paul Watson, John Eddy, Joshua Griffin, Patricia Hough, Tamara Kolda, Monica Martinez-Canales, Pamela Williams, Michael Eldred, Shannon Brown, Brian Adams, Daniel Dunlavy, (2006). DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers’s manual https://doi.org/10.2172/895703 Publication ID: 8092

Laura Swiler, Anthony Giunta, Michael Eldred, Brian Adams, Vicente Romero, Monica Martinez-Canales, (2006). DAKOTA and its use in Computational Experiments https://www.osti.gov/servlets/purl/1264108 Publication ID: 8161

Shannon Brown, Joshua Griffin, Patricia Hough, Tamara Kolda, Monica Martinez-Canales, Pamela Williams, Brian Adams, Daniel Dunlavy, Laura Swiler, Anthony Giunta, William Hart, Jean-Paul Watson, John Eddy, (2006). DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual https://doi.org/10.2172/895073 Publication ID: 7423

Anthony Giunta, Laura Swiler, Shannon Brown, Michael Eldred, (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data https://www.osti.gov/servlets/purl/1266128 Publication ID: 7913

Laura Swiler, Timothy Trucano, W. Oberkampf, Kevin Dowding, Anthony Giunta, Vicente Romero, Vicente Romero, (2006). Methodology Status and Needs: Verification Validation and Uncertainty Quantification https://www.osti.gov/servlets/purl/1264551 Publication ID: 7925

John McFarland, Laura Swiler, Anthony Giunta, (2006). Bayesian Calibration of the QASPR Model https://www.osti.gov/servlets/purl/1264037 Publication ID: 7746

Barron Bichon, Michael Eldred, Laura Swiler, John McFarland, (2006). Multimodal Reliability Assessment for Complex Engineering Applications using Sequential Kriging Optimization https://www.osti.gov/servlets/purl/1264585 Publication ID: 7747

Laura Swiler, Shannon Brown, Michael Eldred, (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data https://www.osti.gov/servlets/purl/1266127 Publication ID: 7842

Laura Swiler, (2006). Solutions to the Thermal Problem prepared for the ASC Validation Challenge Workshop: The Importance of Assumptions https://www.osti.gov/servlets/purl/1266078 Publication ID: 7452

Anthony Giunta, Michael Eldred, Laura Swiler, (2006). The DAKOTA Toolkit and its use in Computational Experiments https://www.osti.gov/servlets/purl/1264111 Publication ID: 7655

Laura Swiler, (2006). 1411 Department Review 2006 https://www.osti.gov/servlets/purl/1729806 Publication ID: 7300

Laura Swiler, (2006). Verification of LHS distributions https://doi.org/10.2172/882044 Publication ID: 6952

Laura Swiler, (2006). Bayesian methods in engineering design problems https://doi.org/10.2172/883142 Publication ID: 5314

Laura Swiler, Patricia Hough, (2006). Gaussian processes in trust-region optimization methods https://www.osti.gov/biblio/900383 Publication ID: 6735

Anthony Giunta, Laura Swiler, Shannon Brown, Michael Eldred, Mark Richards, Eric Cyr, (2006). The surfpack software library for surrogate modeling of sparse irregularly spaced multidimensional data Collection of Technical Papers – 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference https://www.osti.gov/biblio/943891 Publication ID: 6871

Laura Swiler, (2006). Gaussian processes in response surface modeling https://www.osti.gov/biblio/902568 Publication ID: 6624

Brian Rutherford, Laura Swiler, Thomas Paez, Angel Urbina, (2005). Response surface (Meta-model) methods and applications https://www.osti.gov/biblio/882055 Publication ID: 6464

Anthony Giunta, Michael Eldred, Laura Swiler, Timothy Trucano, (2005). Perspectives on optimization under uncertainty: Algorithms and applications https://www.osti.gov/biblio/947287 Publication ID: 4431

Laura Swiler, (2005). Validation of the thermal challenge problem using Bayesian Belief Networks https://doi.org/10.2172/875636 Publication ID: 6062

Laura Swiler, (2005). Gaussian processes in response surface modeling https://www.osti.gov/biblio/878571 Publication ID: 6165

Kay Vugrin, Laura Swiler, Randall Roberts, (2005). Confidence region estimation techniques for nonlinear regression :three case studies https://doi.org/10.2172/877714 Publication ID: 6166

John McFarland, Anthony Giunta, Laura Swiler, (2005). Advanced uncertainty quantification methods for engineering applications https://www.osti.gov/biblio/969552 Publication ID: 5920

Anthony Giunta, Laura Swiler, Michael Eldred, (2005). The promise and peril of uncertainty quantification using response surface approximations Proposed for publication in Structure and Infrastructure Engineering. https://www.osti.gov/biblio/884754 Publication ID: 6027

Laura Swiler, Timothy Trucano, (2005). Calibration Under Uncertainty https://doi.org/10.2172/1143309 Publication ID: 4693

Laura Swiler, (2005). Bayesian methods in CS&E models https://www.osti.gov/biblio/948229 Publication ID: 4384

Anthony Giunta, Laura Swiler, Michael Eldred, William Hart, Cynthia Phillips, Jean-Paul Watson, (2005). Optimization under uncertainty research and applications at Sandia National Laboratories https://www.osti.gov/biblio/943858 Publication ID: 4432

Vicente Romero, Laura Swiler, (2004). Progressive response surfaces https://www.osti.gov/biblio/959302 Publication ID: 3396

Laura Swiler, Gregory Wyss, (2004). A user’s guide to Sandia’s latin hypercube sampling software : LHS UNIX library/standalone version https://doi.org/10.2172/919175 Publication ID: 3002

Laura Swiler, Laura Swiler, James Campbell, Kelly Lowder, Adele Doser, (2003). Algorithm development for Prognostics and Health Management (PHM) https://doi.org/10.2172/918353 Publication ID: 2711

Laura Swiler, Laura Swiler, (2003). Prognostics for accessory drive gearboxes on fixed-wing aircraft https://www.osti.gov/biblio/915167 Publication ID: 1772

Vicente Romero, Laura Swiler, Anthony Giunta, (2000). Application of finite element, global polynomial, and kriging response surfaces in Progressive Lattice Sampling designs https://www.osti.gov/servlets/purl/756086 Publication ID: 444