Laura Painton Swiler

Computing Research

Author profile picture

Computing Research

lpswile@sandia.gov

(505) 844-8093

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

Biography

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

Education

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

Publications

  • Naugle, A., Krofcheck, D., Warrender, C., Lakkaraju, K., Swiler, L., Verzi, S., Emery, B., Murdock, J., Bernard, M., Romero, V., & Romero, V. (2023). What can simulation test beds teach us about social science? Results of the ground truth program. Computational and Mathematical Organization Theory, 29(1), pp. 242-263. https://doi.org/10.1007/s10588-021-09349-6 Publication ID: 80604
  • Naugle, A., Verzi, S., Lakkaraju, K., Swiler, L., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2023). Feedback density and causal complexity of simulation model structure. Journal of Simulation, 17(3), pp. 229-239. https://doi.org/10.1080/17477778.2021.1982653 Publication ID: 75723
  • Mariner, P., Debusschere, B., Fukuyama, D., Harvey, J., LaForce, T., Leone, R., Perry, F., Swiler, L., TACONI, A., & TACONI, A. (2022). GDSA Framework Development and Process Model Integration FY2022. https://doi.org/10.2172/1893995 Publication ID: 80378
  • Brooks, D., Swiler, L., Stein, E., Mariner, P., Basurto, E., Portone, T., Eckert, A., Leone, R., & Leone, R. (2022). Sensitivity analysis of generic deep geologic repository with focus on spatial heterogeneity induced by stochastic fracture network generation. Advances in Water Resources, 169. https://doi.org/10.1016/j.advwatres.2022.104310 Publication ID: 80187
  • Modine, N., Stephens, J., Swiler, L., Thompson, A., Vogel, D., Cangi, A., Feilder, L., Rajamanickam, S., & Rajamanickam, S. (2022). Accelerating Multiscale Materials Modeling with Machine Learning. https://doi.org/10.2172/1889336 Publication ID: 80251
  • Swiler, L., Basurto, E., Brooks, D., Eckert, A., Leone, R., Mariner, P., Portone, T., Smith, M., & Smith, M. (2022). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2022). https://doi.org/10.2172/1884909 Publication ID: 80086
  • Naugle, A., Swiler, L., Lakkaraju, K., Verzi, S., Warrender, C., Romero, V., & Romero, V. (2022). Graph-Based Similarity Metrics for Comparing Simulation Model Causal Structures. https://doi.org/10.2172/1884926 Publication ID: 80095
  • Naugle, A., Russell, A., Lakkaraju, K., Swiler, L., Verzi, S., Romero, V., & Romero, V. (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods.. Computational and Mathematical Organization Theory, 29(1), pp. 1-16. https://doi.org/10.1007/s10588-021-09346-9 Publication ID: 80622
  • Swiler, L. (2021). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA [Presentation]. https://www.osti.gov/biblio/1901835 Publication ID: 77036
  • Swiler, L. (2021). Verification and Validation for Cyber Emulation [Conference Presenation]. https://doi.org/10.2172/1897016 Publication ID: 76651
  • Adams, B., Bohnhoff, W., Dalbey, K., Ebeida, M., Eddy, J., Eldred, M., Hooper, R., Hough, P., Hu, K., Jakeman, J., Khalil, M., Maupin, K., Monschke, J., Ridgway, E., Rushdi, A., Seidl, D., Stephens, J., Swiler, L., Tran, A., Winokur, J., & Winokur, J. (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
  • Mariner, P., Berg, T., Debusschere, B., Eckert, A., Harvey, J., LaForce, T., Leone, R., Mills, M., Nole, M., Park, H., Perry, &., Seidl, D., Swiler, L., Chang, K.W., & Chang, K.W. (2021). GDSA Framework Development and Process Model Integration FY2021. https://doi.org/10.2172/1825056 Publication ID: 76168
  • Swiler, L., Becker, D., Brooks, D., Govaerts, J., Koskinen, L., Plischke, E., Röhlig, K., Saveleva, E., Spiessl, S., Stein, E., Svitelman, V., & Svitelman, V. (2021). Sensitivity Analysis Comparisons on Geologic Case Studies: An International Collaboration. https://doi.org/10.2172/1822591 Publication ID: 75545
  • Pinar, A., Tarman, T., Swiler, L., Gearhart, J., Hart, D., Vugrin, E., Cruz, G., Arguello, B., Geraci, G., Debusschere, B., Hanson, S., Outkin, A., Thorpe, J., Hart, W., Sahakian, M., Gabert, K., Glatter, C., Johnson, E., Punla-Green, S., & Punla-Green, S. (2021). Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK. https://doi.org/10.2172/1820527 Publication ID: 75697
  • Wagman, B., Swiler, L., Chowdhary, K., Hillman, B., & Hillman, B. (2021). The Fingerprints of Stratospheric Aerosol Injection in E3SM. https://doi.org/10.2172/1821542 Publication ID: 75727
  • Swiler, L., Brooks, D., & Brooks, D. (2021). Joint Sensitivity Analysis (JOSA) Exercise Meeting Sept. 21, 2021 [Presentation]. https://www.osti.gov/biblio/1888135 Publication ID: 75754
  • Pinar, A., Tarman, T., Swiler, L., Gearhart, J., Hart, D., Vugrin, E., Cruz, G., Arguello, B., Geraci, G., Debusschere, B., Hanson, S., Outkin, A., Thorpe, J., Hart, W., Sahakian, M., Gabert, K., Glatter, C., Johnson, E., Punla-Green, S., & Punla-Green, S. (2021). Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) (Final Report). https://doi.org/10.2172/1821322 Publication ID: 75817
  • Swiler, L. (2021). White paper on Verification and Validation for Cyber Emulation Models. https://doi.org/10.2172/1854720 Publication ID: 75981
  • Stickland, M., Li, J., Swiler, L., Tarman, T., & Tarman, T. (2021). Foundations of Rigorous Cyber Experimentation. https://doi.org/10.2172/1854751 Publication ID: 76007
  • Swiler, L., Basurto, E., Brooks, D., Eckert, A., Leone, R., Mariner, P., Portone, T., Smith, M., Stein, E., & Stein, E. (2021). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021). https://doi.org/10.2172/1855018 Publication ID: 79851
  • Tarman, T., Rollins, T., Swiler, L., Cruz, G., Vugrin, E., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., Davis, K., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Paper]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3474718.3474725 Publication ID: 78420
  • Swiler, L., Brooks, D., Stein, E., Röhlig, K., Plischke, E., Becker, D., Spiessl, S., Koskinen, L., Govaerts, J., Svitelman, V., Saveleva., E., & Saveleva., E. (2021). Metamodelling sensitivity approaches versus regression and graphical methods on the basis of Geologic Cases: An International Collaboration [Conference Presenation]. https://doi.org/10.2172/1884666 Publication ID: 75431
  • Tarman, T., Swiler, L., Vugrin, E., Rollins, T., Cruz, G., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., Davis, K., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Presenation]. https://doi.org/10.2172/1881645 Publication ID: 79697
  • Tarman, T., Swiler, L., Cruz, G., Vugrin, E., Rollins, T., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., Davis, K., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Proceeding]. https://doi.org/10.1145/3474718.3474725 Publication ID: 79240
  • Geraci, G., Swiler, L., Debusschere, B., & Debusschere, B. (2021). Multifidelity UQ sampling for Stochastic Simulations [Conference Presenation]. https://doi.org/10.2172/1889573 Publication ID: 79490
  • Kramer, S., Bolintineanu, D., Long, K., Hamel, C., Frankel, A., Jones, R.E., Swiler, L., Johnson, K., & Johnson, K. (2021). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories [Conference Presenation]. https://doi.org/10.2172/1867564 Publication ID: 78396
  • Stickland, M., Li, J., Tarman, T., Swiler, L., & Swiler, L. (2021). Uncertainty quantification in cyber experimentation [Conference Paper]. https://www.osti.gov/biblio/1867999 Publication ID: 78424
  • Swiler, L. (2021). Sensitivity Analysis for the Latest Crystalline Reference Case [Presentation]. https://www.osti.gov/biblio/1868007 Publication ID: 78432
  • Swiler, L., Brooks, D., & Brooks, D. (2021). GP and PCE surrogate models for estimation of sensitivity indices [Presentation]. https://www.osti.gov/biblio/1868008 Publication ID: 78433
  • Swiler, L. (2021). Statistical Methods used in the Born Qualified LDRD Project [Presentation]. https://www.osti.gov/biblio/1863692 Publication ID: 78088
  • Porter, N., Maupin, K., Swiler, L., Mousseau, V., & Mousseau, V. (2021). Validation Metrics for Fixed Effects and Mixed-Effects Calibration. Journal of Verification, Validation and Uncertainty Quantification, 6(1). https://doi.org/10.1115/1.4049534 Publication ID: 74591
  • Swiler, L. (2021). Epistemic Uncertainty: Computation and Usage [Conference Presenation]. https://doi.org/10.2172/1855744 Publication ID: 77617
  • Swiler, L. (2021). Epistemic Uncertainty: Computation and Usage [Conference Presenation]. https://doi.org/10.2172/1845192 Publication ID: 76636
  • Swiler, L., Gulian, M., Frankel, A., Safta, C., Jakeman, J., & Jakeman, J. (2021). Constrained Gaussian Processes: A Survey [Conference Presenation]. https://doi.org/10.2172/1847480 Publication ID: 77280
  • Portone, T., Swiler, L., Geraci, G., Eldred, M., & Eldred, M. (2021). Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model [Conference Presenation]. https://doi.org/10.2172/1847219 Publication ID: 77339
  • Debusschere, B., Geraci, G., Jakeman, J., Safta, C., Swiler, L., & Swiler, L. (2021). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments [Conference Presenation]. https://doi.org/10.2172/1847628 Publication ID: 77383
  • Swiler, L. (2021). Uncertainty and Sensitivity Analysis Overview [Presentation]. https://www.osti.gov/biblio/1840824 Publication ID: 75026
  • Swiler, L., Newman, S., Staid, A., Barrett, E., & Barrett, E. (2021). Dakota-NAERM Integration. https://doi.org/10.2172/1762833 Publication ID: 75059
  • Swiler, L. (2021). Uncertainty Analysis of a Medical Resource Demand Model [Presentation]. https://www.osti.gov/biblio/1841815 Publication ID: 75093
  • Geraci, G., Crussell, J., Swiler, L., Debusschere, B., & Debusschere, B. (2021). Exploration of multifidelity UQ sampling strategies for computer network applications. International Journal for Uncertainty Quantification, 11(1), pp. 55-91. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021033774 Publication ID: 76015
  • Maupin, K., Swiler, L., & Swiler, L. (2020). Model Discrepancy Calibration and Propagation Across Experimental Settings [Conference Presenation]. https://doi.org/10.2172/1833158 Publication ID: 71936
  • Emery, B., Staid, A., Swiler, L., & Swiler, L. (2020). Sensitivity and Uncertainty Analysis of Generator Failures under Extreme Temperature Scenarios in Power Systems. https://doi.org/10.2172/1808746 Publication ID: 71307
  • Tran, A., Mitchell, J., Swiler, L., Wildey, T., & Wildey, T. (2020). An active learning high-throughput microstructure calibration framework for solving inverse structure–process problems in materials informatics. Acta Materialia, 194, pp. 80-92. https://doi.org/10.1016/j.actamat.2020.04.054 Publication ID: 73364
  • Gulian, M., Swiler, L., Frankel, A., Safta, C., Jakeman, J., & Jakeman, J. (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges [Conference Poster]. https://www.osti.gov/biblio/1814448 Publication ID: 74592
  • DeRosa, S., Finley, P., Finley, M., Beyeler, W., Krofcheck, D., Frazier, C., Swiler, L., Portone, T., Acquesta, E., Austin, P., Levin, D., Taylor, R., Tremba, K., Makvandi, M., Hammer, A., Davis, C., & Davis, C. (2020). COVID-19 Medical Resource Demands [Presentation]. https://www.osti.gov/biblio/1807655 Publication ID: 74013
  • Gulian, M., Swiler, L., Frankel, A., Jakeman, J., Safta, C., & Safta, C. (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges [Conference Poster]. https://www.osti.gov/biblio/1812282 Publication ID: 74359
  • Swiler, L., Portone, T., & Portone, T. (2020). Uncertainty Analysis of a COVID-19 Medical Resource Model [Presentation]. https://www.osti.gov/biblio/1807392 Publication ID: 73743
  • Swiler, L., Portone, T., Beyeler, W., & Beyeler, W. (2020). Uncertainty analysis of Resource Demand Model for Covid-19. https://doi.org/10.2172/1630395 Publication ID: 73459
  • Beyeler, W., Frazier, C., Swiler, L., Portone, T., Krofcheck, D., & Krofcheck, D. (2020). Treatment Model Design and Use [Presentation]. https://www.osti.gov/biblio/1783073 Publication ID: 73474
  • Maupin, K., Swiler, L., & Swiler, L. (2020). Calibration Propagation and Validation of Model Discrepancy Across Experimental Settings [Conference Poster]. https://www.osti.gov/biblio/1769563 Publication ID: 72925
  • Heckman, N., Ivanoff, T., Roach, A.M., Jared, B.H., Tung, D.J., Brown-Shaklee, H.J., Huber, T., Saiz, D.J., Koepke, J.R., Rodelas, J., Madison, J.D., Salzbrenner, B., Swiler, L., Jones, R.E., Boyce, B., & Boyce, B. (2020). Automated high-throughput tensile testing reveals stochastic process parameter sensitivity. Materials Science and Engineering: A, 772. https://doi.org/10.1016/j.msea.2019.138632 Publication ID: 66422
  • Pinar, A., Benz, Z., Castillo, A., Hart, B., Swiler, L., Tarman, T., & Tarman, T. (2019). SECURE: An Evidence-based Approach to Cyber Experimentation [Conference Poster]. Proceedings – 2019 Resilience Week, RWS 2019. https://doi.org/10.1109/RWS47064.2019.8971976 Publication ID: 66023
  • Kramer, S., Bolintineanu, D., Long, K., Waymel, R., Quintana, E.C., Jones, R.E., Roberts, S., Newcomer, J., Stracuzzi, D., Swiler, L., & Swiler, L. (2019). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories [Conference Poster]. https://www.osti.gov/biblio/1643105 Publication ID: 66123
  • Swiler, L., Helton, J.C., Basurto, E., Brooks, D., Mariner, P., Moore, L., Mohanty, S., Sevougian, S., Stein, E., & Stein, E. (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
  • Mariner, P., Connolly, L., Cunningham, L., Debusschere, B., Dobson, D., Frederick, J., Hammond, G., Jordan, S., LaForce, T., Nole, M., Park, H., Perry, F., Rogers, R., Seidl, D., Sevougian, S., Stein, E., Swift, P., Swiler, L., Vo, J., Wallace, M., & Wallace, M. (2019). Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010. https://doi.org/10.2172/1570094 Publication ID: 65476
  • Swiler, L., Geraci, G., Debusschere, B., Crussell, J., & Crussell, J. (2019). Uncertainty Quantification in Cyber Emulation [Conference Poster]. https://www.osti.gov/biblio/1642954 Publication ID: 65818
  • Becker, D., Brooks, D., Govaerts, J., Koskinen, L., Kucherenko, S., Kupiainen, P., Mariner, P., Pastina, B., Plischke, E., Rohlig, K., Sevougian, S., Spiessl, S., Stein, E., Swiler, L., Weetjens, E., & Weetjens, E. (2019). A Joint Exercise on Sensitivity Analysis in Repository Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1642988 Publication ID: 65894
  • Mariner, P., Debusschere, B., Jerden, J., Seidl, D., Swiler, L., Vo, J., & Vo, J. (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1643084 Publication ID: 66069
  • Tallman, A.E., Stopka, K.S., Swiler, L., Wang, Y., Kalidindi, S.R., McDowell, D.L., & McDowell, D.L. (2019). Gaussian-Process-Driven Adaptive Sampling for Reduced-Order Modeling of Texture Effects in Polycrystalline Alpha-Ti. JOM, 71(8), pp. 2646-2656. https://doi.org/10.1007/s11837-019-03553-1 Publication ID: 70191
  • Adams, B., Pautz, S., Bruss, D., Franke, B., Blansett, E., Swiler, L., & Swiler, L. (2019). Adjoint-enabled Robust Radiation Shield Design [Conference Poster]. https://www.osti.gov/biblio/1641509 Publication ID: 70294
  • Naugle, A., Lakkaraju, K., Balanaga, V., Warrender, C., Verzi, S., Livesay, M., Swiler, L., & Swiler, L. (2019). A Complexity-Focused Framework for Comparing and Evaluating Social Simulations [Presentation]. https://www.osti.gov/biblio/1645756 Publication ID: 70428
  • Swiler, L. (2019). Gaussian Process Models [Conference Poster]. https://www.osti.gov/biblio/1641657 Publication ID: 70487
  • Naugle, A., Swiler, L., Lakkaraju, K., Verzi, S., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2019). Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams [Conference Poster]. https://www.osti.gov/biblio/1641241 Publication ID: 69911
  • Lester, B., Cook, A., Brown-Shaklee, H.J., Swiler, L., Bishop, J., & Bishop, J. (2019). Image-Based Modeling of Ceramic Additive Manufacturing [Conference Poster]. https://www.osti.gov/biblio/1641323 Publication ID: 70037
  • Mitchell, J., Ivanoff, T., Dagel, D., Jared, B.H., Koepke, J.R., Saiz, D.J., Swiler, L., & Swiler, L. (2019). Linking pyrometry to porosity in additive manufactured metals [Conference Poster]. https://www.osti.gov/biblio/1641333 Publication ID: 70077
  • Mariner, P., Swiler, L., Seidl, D., Vo, J., & Vo, J. (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1640670 Publication ID: 69032
  • Portone, T., Niederhaus, J., Swiler, L., & Swiler, L. (2019). Extended abstract: Bayesian model selection for metal yield models in high-velocity impact [Conference Poster]. https://www.osti.gov/biblio/1640078 Publication ID: 68627
  • Mariner, P., Seidl, D., Swiler, L., Debusschere, B., Vo, J., Jerden, J., Frederick, J., & Frederick, J. (2019). Surrogate Modeling of Fuel Dissolution [Presentation]. https://www.osti.gov/biblio/1648825 Publication ID: 68682
  • Basurto, E., Brooks, D., Swiler, L., Mariner, P., & Mariner, P. (2019). Advances in Sensitivity Analysis for the Crystalline Reference Case [Presentation]. https://www.osti.gov/biblio/1648819 Publication ID: 68695
  • Swiler, L., Stickland, M., Tarman, T., & Tarman, T. (2019). Design of Experiments for Cyber Experimentation [Conference Poster]. https://www.osti.gov/biblio/1640123 Publication ID: 68704
  • Portone, T., Niederhaus, J., Sanchez, J., Swiler, L., & Swiler, L. (2019). Bayesian model selection for metal yield models in high-velocity impact [Conference Poster]. https://doi.org/10.1115/HVIS2019-012 Publication ID: 68012
  • Lakkaraju, K., Naugle, A., Verzi, S., Swiler, L., Livesay, M., Warrender, C., Bernard, M., Romero, V., & Romero, V. (2019). Complexity metrics for Agent Based Models of Social Systems [Conference Poster]. https://www.osti.gov/biblio/1639730 Publication ID: 68092
  • Roach, R., Jared, B.H., Boyce, B., Lechman, J., Martinez, M., Forrest, E.C., Taylor, S., Dagel, A., Madison, J.D., Ivanoff, T., Koepke, J.R., Swiler, L., van Bloemen Waanders, B., Clark, B., Rodgers, T., Johnson, K., & Johnson, K. (2019). Overview of Sandia’s Born Qualified Project [Presentation]. https://www.osti.gov/biblio/1644903 Publication ID: 68107
  • Jared, B.H., Boyce, B., Madison, J.D., Rodelas, J., Saiz, D.J., Koepke, J.R., Huber, T., Ivanoff, T., Salzbrenner, B., Kernen, B., Moore, D., Swiler, L., & Swiler, L. (2019). The Influence of Defects on the Performance of 316L Stainless Steel from Metal L-PBF [Presentation]. https://www.osti.gov/biblio/1648746 Publication ID: 68108
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2019). Methods of Sensitivity Analysis in Geologic Disposal Safety Assessment (GDSA) Framework [Conference Poster]. https://www.osti.gov/biblio/1639712 Publication ID: 68131
  • Mariner, P., Swiler, L., Seidl, D., Debusschere, B., Vo, J., Frederick, J., & Frederick, J. (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance [Conference Poster]. https://www.osti.gov/biblio/1639277 Publication ID: 67301
  • Swiler, L., Debusschere, B., Geraci, G., Crussell, J., & Crussell, J. (2019). SECURE Uncertainty Quantification Thrust [Presentation]. https://www.osti.gov/biblio/1644470 Publication ID: 67345
  • Geraci, G., Swiler, L., Crussell, J., Debusschere, B., & Debusschere, B. (2019). Exploration of multifidelity UQ strategies for network applications [Presentation]. https://www.osti.gov/biblio/1644472 Publication ID: 67348
  • Jared, B.H., Madison, J.D., Ivanoff, T., Swiler, L., Saiz, D.J., Dagel, D., Mitchell, J., Koepke, J.R., & Koepke, J.R. (2019). Defect Detection in Metal Additive Manufacturing Through Application of In-Situ Diagnostics [Conference Poster]. https://www.osti.gov/biblio/1639391 Publication ID: 67457
  • Madison, J.D., Dagel, D., Ivanoff, T., Jared, B.H., Koepke, J.R., Mitchell, J., Saiz, D.J., Swiler, L., & Swiler, L. (2019). Defect Signatures for Metal Laser Powder-Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1639421 Publication ID: 67500
  • Geraci, G., Swiler, L., Crussell, J., Debusschere, B., & Debusschere, B. (2019). EXPLORATION OF MULTIFIDELITY APPROACHES FOR UNCERTAINTY QUANTIFICATION IN NETWORK APPLICATIONS [Conference Poster]. https://doi.org/10.7712/120219.6352.18797 Publication ID: 67693
  • Maupin, K., Swiler, L., & Swiler, L. (2019). Calibration Propagation and Validation of Model Discrepancy Across Experiments [Conference Poster]. https://www.osti.gov/biblio/1639186 Publication ID: 66235
  • Mariner, P., Swiler, L., Seidl, D., Debusschere, B., Vo, J., Frederick, J., & Frederick, J. (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance [Conference Poster]. https://www.osti.gov/biblio/1602117 Publication ID: 67105
  • Maupin, K., Maupin, K., Swiler, L., Swiler, L., Porter, N., Porter, N., & Porter, N. (2019). Validation Metrics for Deterministic and Probabilistic Data. Journal of Verification, Validation and Uncertainty Quantification, 3(3). https://doi.org/10.1115/1.4042443 Publication ID: 64495
  • Mitchell, S., Knupp, P., Abdelkader, A., M. Awad, M., Bajaj, C., Deakin, M., Ebeida, M., Engwirda, D., Mahmoud, A., Manocha, D., McKay, S., Owens, J., Park, C., Patney, A., Rushdi, A., Swiler, L., Wei, L., & Wei, L. (2019). Primal-Dual Mesh Optimization with Mathematical Foundations [Presentation]. https://www.osti.gov/biblio/1596226 Publication ID: 64491
  • Mitchell, S., Knupp, P., Abdelkader, A., M. Awad, M., Bajaj, C., Deakin, M., Ebeida, M., Engwirda, D., Mahmoud, A., Manocha, D., McKay, S., Owens, J., Park, C., Patney, A., Rushdi, A., Swiler, L., Wei, L., & Wei, L. (2019). Primal-Dual Mesh Optimization with Mathematical Foundations [Presentation]. https://www.osti.gov/biblio/1596418 Publication ID: 64511
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2019). Methods of sensitivity analysis in geologic disposal safety assessment (GDSA) framework [Conference Poster]. International High-Level Radioactive Waste Management 2019, IHLRWM 2019. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85067094714&origin=inward Publication ID: 67047
  • Geraci, G., Swiler, L., Crussell, J., Debusschere, B., & Debusschere, B. (2019). Exploration of multifidelity approaches for uncertainty quantification in network applications [Conference Poster]. 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
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2018). GDSA Shale Reference Case: Uncertainty Propagation and Sensitivity Analysis with Dakota [Presentation]. https://www.osti.gov/biblio/1761097 Publication ID: 60438
  • Ivanoff, T., Madison, J.D., Kramer, S., Swiler, L., Jared, B.H., & Jared, B.H. (2018). Three-dimensional Characterization of AM Porosity and Correlation to Mechanical Performance [Presentation]. https://www.osti.gov/biblio/1806907 Publication ID: 60095
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2018). Sensitivity Analysis of Dessel Dataset with SNL’s Dakota [Presentation]. https://www.osti.gov/biblio/1594648 Publication ID: 59328
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale [Conference Poster]. https://www.osti.gov/biblio/1594335 Publication ID: 59337
  • Swiler, L., van Bloemen Waanders, B., Jared, B.H., Koepke, J.R., Whetten, S., Madison, J.D., Ivanoff, T., Jackson, O.D.U., Cook, A., Brown-Shaklee, H.J., Kammler, D., Johnson, K., Ford, K.R., Bishop, J., Roach, R.A., & Roach, R.A. (2018). Data Analysis for the Born Qualified Grand LDRD Project. https://doi.org/10.2172/1481602 Publication ID: 59380
  • Roach, R.A., Argibay, N., Allen, K., Balch, D., Beghini, L., Bishop, J., Boyce, B., Brown, J., Burchard, R., Chandross, M., Cook, A., DiAntonio, C., Dressler, A., Forrest, E.C., Ford, K.R., Ivanoff, T., Jared, B.H., Johnson, K., Kammler, D., … Trembacki, B.L. (2018). Born Qualified Grand Challenge LDRD Final Report. https://doi.org/10.2172/1481619 Publication ID: 59393
  • Mariner, P., Swiler, L., Frederick, J., & Frederick, J. (2018). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance [Conference Poster]. https://www.osti.gov/biblio/1593061 Publication ID: 59579
  • Ivanoff, T., Madison, J.D., Koepke, J.R., Swaller, E., Jared, B.H., Mitchell, J., Swiler, L., & Swiler, L. (2018). 3D Registration of Structure, Melt Pool History and Design in AM 316L Stainless Steel [Conference Poster]. https://www.osti.gov/biblio/1884475 Publication ID: 59634
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2018). Comparison of Probabilistic Sensitivity Analysis Methods Applied to a 3-D Reference Case Performance Assessment Dataset from GDSA Framework [Conference Poster]. https://www.osti.gov/biblio/1592668 Publication ID: 59874
  • Kuether, R., Allensworth, B., Backer, A., Chen, E., Dingreville, R., Forrest, E.C., Knepper, R., Tappan, A., Marquez, M., Vasiliauskas, J.G., Rupper, S., Grant, M., Atencio, L., Hipple, T., Maes, D., Timlin, J., Ma, T., Garcia, R., Danford, F., … Swiler, L. (2018). Posters for AA/CE Reception [Presentation]. https://www.osti.gov/biblio/1592652 Publication ID: 59884
  • Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale [Conference Poster]. https://www.osti.gov/biblio/1592078 Publication ID: 58929
  • Koepke, J.R., Jared, B.H., Saiz, D.J., Hill, R., Taylor, S., Swiler, L., & Swiler, L. (2018). Investigating Process Parameters in Laser-Powder Bed Fusion [Presentation]. https://www.osti.gov/biblio/1592080 Publication ID: 58935
  • Swiler, L., Adams, B., Wieselquist, W., & Wieselquist, W. (2018). Sample Generation for Nuclear Data. https://doi.org/10.2172/1474254 Publication ID: 59071
  • Rohlig, K., Plischke, E., Becker, D., Stein, E., Govaerts, J., Debusschere, B., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P., Nummi, O., Pastina, B., Sevougian, S., Spiessl, S., Swiler, L., Weetjens, E., Zeitler, T., & Zeitler, T. (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach [Conference Poster]. https://www.osti.gov/biblio/1568977 Publication ID: 59195
  • Rohlig, K., Plischke, E., Becker, D., Stein, E., Govaerts, J., Debusschere, B., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P., Nummi, O., Pastina, B., Sevougian, S., Spiessl, S., Swiler, L., Weetjens, E., Zeitler, T., & Zeitler, T. (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach [Conference Poster]. https://www.osti.gov/biblio/1806880 Publication ID: 59289
  • Sevougian, S., Stein, E., Swiler, L., Sevougian, S., & Sevougian, S. (2018). Higher-order SIs and Interactions based on PCE (using Dakota) [Presentation]. https://www.osti.gov/biblio/1594665 Publication ID: 59317
  • Swiler, L. (2018). Dakota within the NEAMS Workbench [Conference Poster]. https://www.osti.gov/biblio/1581719 Publication ID: 63600
  • Mitchell, S., Awad, M., Ebeida, M., Swiler, L., & Swiler, L. (2018). Fast Approximate Union Volume in High Dimensions with Line Samples. https://doi.org/10.2172/1464880 Publication ID: 63626
  • Jared, B.H., Madison, J.D., Ivanoff, T., Mitchell, J., Schwaller, E., Koepke, J.R., Saiz, D.J., Dagel, D., Brown-Shaklee, H.J., Swiler, L., & Swiler, L. (2018). Defect Signatures for Metal Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1581712 Publication ID: 63670
  • Mitchell, S., Ebeida, M., Awad, M., Park, C., Patney, A., Rushdi, A., Swiler, L., Manocha, D., Wei, L., & Wei, L. (2018). Spoke-Darts for High-Dimensional Blue-Noise Sampling [Conference Poster]. https://doi.org/10.1145/3194657 Publication ID: 63675
  • Ivanoff, T., Madison, J.D., Koepke, J.R., Jared, B.H., Mitchell, J., Swiler, L., & Swiler, L. (2018). 3D Characterization of Porosity in AM 316L SS and its Effect on Mechanical Behavior [Conference Poster]. https://www.osti.gov/biblio/1582148 Publication ID: 63694
  • Johnson, K., Swiler, L., Rodgers, T., Jared, B.H., Subia, S., Ford, K.R., Stender, M., Bishop, J., & Bishop, J. (2018). Advanced Model Predictions of Mechanical Properties and Process Parameter Effects in High Throughput L-PBF Tension Specimens [Conference Poster]. https://www.osti.gov/biblio/1581944 Publication ID: 63706
  • Ivanoff, T., Madison, J.D., Koepke, J.R., Jared, B.H., Mitchell, J., Swiler, L., & Swiler, L. (2018). 3D Characterization of Porosity in AM 316L SS and its Effect on Mechanical Behavior [Conference Poster]. https://www.osti.gov/biblio/1806770 Publication ID: 63719
  • Swiler, L. (2018). Panel on Materials SAMSI Model Uncertainty: Mathematical and Statistical (MUMS) Workshop [Presentation]. https://www.osti.gov/biblio/1582191 Publication ID: 63754
  • Jared, B.H., Moore, D., Stair, S., Boyce, B., Madison, J.D., Ivanoff, T., Ostien, J.T., Johnson, K., Rodelas, J., Salzbrenner, B., Swiler, L., Jackson, O.D.U., Saiz, D.J., Kernen, B., Jost, E., Miers, J., & Miers, J. (2018). The Impact of Critical Defects on Material Performance and Science-Based Qualification for Metal Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1532607 Publication ID: 62927
  • Naugle, A., Lakkaraju, K., Verzi, S., Swiler, L., Romero, V., Bernard, M., & Bernard, M. (2018). A Multi-tiered Complexity Metric [Conference Poster]. https://www.osti.gov/biblio/1570180 Publication ID: 63118
  • Ebeida, M., Swiler, L., Phipps, E., Ray, J., & Ray, J. (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling [Conference Poster]. https://www.osti.gov/biblio/1524960 Publication ID: 62390
  • Madison, J.D., Ivanoff, T., Jared, B.H., Swiler, L., DeJong, S., Boyce, B., Rodelas, J., Salzbrenner, B., & Salzbrenner, B. (2018). Aggregate Presence and Impact of 3D Defect Populations In AM Stainless Steel [Conference Poster]. https://www.osti.gov/biblio/1526367 Publication ID: 62527
  • Roach, R.A., Bishop, J., Jared, B.H., Keicher, D., Cook, A., Whetten, S., Forrest, E.C., Stanford, J., Boyce, B., Johnson, K., Rodgers, T., Ford, K.R., Martinez, M.J., Moser, D., van Bloemen Waanders, B., Chandross, M., Abdeljawad, F., Allen, K., Stender, M., … Wilson, M. (2018). Changing the Engineering Design & Qualification Paradigm in Component Design & Manufacturing (Born Qualified) [Presentation]. https://www.osti.gov/biblio/1511987 Publication ID: 61923
  • Koepke, J.R., Jared, B.H., Saiz, D.J., Schwaller, E., Tung, D.J., Swiler, L., & Swiler, L. (2018). Investigating Melt Pool Dynamics in Laser-Bed Powder Fusion Using a Two-Color Pyrometer [Conference Poster]. https://www.osti.gov/biblio/1806940 Publication ID: 61555
  • Maupin, K., Swiler, L., & Swiler, L. (2018). Calibration and Propagation of Model Discrepancy Across Experiments [Conference Poster]. https://www.osti.gov/biblio/1806944 Publication ID: 61561
  • Swiler, L., Adams, B., & Adams, B. (2018). Generating samples from extremely ill-conditioned covariance data [Conference Poster]. https://www.osti.gov/biblio/1508903 Publication ID: 61636
  • Wang, Y., Swiler, L., & Swiler, L. (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, 4(1). https://doi.org/10.1115/1.4037447 Publication ID: 57388
  • Swiler, L. (2018). Women in Data Science 2018 [Conference Poster]. https://www.osti.gov/biblio/1498647 Publication ID: 60957
  • Jared, B.H., Koepke, J.R., Saiz, D.J., Swiler, L., Mitchell, J., Madison, J.D., Ivanoff, T., Webb, K., Rodelas, J., Schwaller, E., & Schwaller, E. (2018). Defect Signatures for Metal Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1501973 Publication ID: 61124
  • Swiler, L., Swiler, L., Johnson, K., & Johnson, K. (2018). Uncertainty Quantification for Additive Manufacturing Applications [Conference Poster]. https://www.osti.gov/biblio/1502289 Publication ID: 61145
  • Portone, T., Niederhaus, J., Sanchez, J., Swiler, L., & Swiler, L. (2018). Application of Bayesian Model Selection for Metal Yield Models using ALEGRA and Dakota. https://doi.org/10.2172/1423930 Publication ID: 60834
  • Roach, R.A., Jared, B.H., Cook, A., Keicher, D., van Bloemen Waanders, B., Swiler, L., Seidl, D., Wildey, T., Whetten, S., & Whetten, S. (2018). Born Qualified EAB Telecon [Presentation]. https://www.osti.gov/biblio/1514821 Publication ID: 60282
  • Stein, E., Swiler, L., Stein, E., & Stein, E. (2018). Dakota applied to GRS mc4096 dataset [Presentation]. https://www.osti.gov/biblio/1806476 Publication ID: 58734
  • Swiler, L. (2018). Materials Data and Models Across Scales [Presentation]. https://www.osti.gov/biblio/1806497 Publication ID: 58772
  • Swiler, L., Lefebvre, R., Langley, B., Thompson, A., & Thompson, A. (2018). The NEAMS workbench and dakota: Providing an environment for uncertainty analyses [Conference Poster]. AISTech – Iron and Steel Technology Conference Proceedings. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062554838&origin=inward Publication ID: 62638
  • Ren, H., Ray, J., Hou, Z., Huang, M., Bao, J., Swiler, L., & Swiler, L. (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, 147, pp. 68-80. https://doi.org/10.1016/j.jappgeo.2017.10.004 Publication ID: 53853
  • Ray, J., Huang, M., Ren, H., Bao, J., Hou, Z., Swiler, L., & Swiler, L. (2017). Multi-chain Markov chain Monte Carlo methods for computationally expensive models [Conference Poster]. https://www.osti.gov/biblio/1488741 Publication ID: 54732
  • Swiler, L. (2017). Uncertainty Quantification and Data Science in Materials Applications [Conference Poster]. https://www.osti.gov/biblio/1484576 Publication ID: 54417
  • Swiler, L., Adams, B., Wieselquist, W., & Wieselquist, W. (2017). Treatment of Nuclear Data Covariance Information in Sample Generation. https://doi.org/10.2172/1398864 Publication ID: 53337
  • Urbina, A., Swiler, L., & Swiler, L. (2017). Dakota Overview [Conference Poster]. https://www.osti.gov/biblio/1479232 Publication ID: 53709
  • Boyce, B., Salzbrenner, B., Rodelas, J., Swiler, L., Madison, J.D., Jared, B.H., Shen, Y.-L., & Shen, Y.-L. (2017). Extreme-Value Statistics Reveal Rare Failure-Critical Defects in Additive Manufacturing. Advanced Engineering Materials, 19(8). https://doi.org/10.1002/adem.201700102 Publication ID: 52952
  • Jared, B.H., Boyce, B., Madison, J.D., Ostien, J.T., Rodelas, J., Salzbrenner, B., Swiler, L., Jackson, O.D.U., Saiz, D.J., Webb, K., & Webb, K. (2017). Critical Defect Signatures and Impacts on Material Performance for Metal Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1464714 Publication ID: 57911
  • Madison, J.D., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., Swiler, L., Jackson, O.D.U., Webb, K., & Webb, K. (2017). Strength of Micro-Computed Tomography as an Indicator of Process History and Estimator of Mechanical Performance in AM Stainless Steel [Conference Poster]. https://www.osti.gov/biblio/1464898 Publication ID: 57940
  • Swiler, L., Ray, J., Swiler, L., Ebeida, M., Huang, M., Hou, Z., Bao, J., Ren, H., & Ren, H. (2017). SAChES: Scalable Adaptive Chain-Ensemble Sampling. https://doi.org/10.2172/1380101 Publication ID: 58308
  • Swiler, L., Johnson, K., & Johnson, K. (2017). Uncertainty Quantification for Additive Manufacturing Applications across scales [Conference Poster]. https://www.osti.gov/biblio/1460157 Publication ID: 57181
  • Maupin, K., Swiler, L., & Swiler, L. (2017). Model Discrepancy Calibration Across Experiments [Conference Poster]. https://www.osti.gov/biblio/1506918 Publication ID: 57332
  • Madison, J.D., Jackson, O.D.U., Swiler, L., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., Webb, K., Jacques, C., Romero, J.A., Kernen, B., Moore, D., & Moore, D. (2017). Corroborating Tomographic Defect Metrics with Processing Parameters & Mechanical Response in Metal AM [Conference Poster]. https://www.osti.gov/biblio/1462531 Publication ID: 57415
  • Swiler, L., Lefebvre, R., Langley, B., Thompson, A., & Thompson, A. (2017). Integration of Dakota into the NEAMS Workbench. https://doi.org/10.2172/1372616 Publication ID: 57450
  • Swiler, L., Stephens, J., & Stephens, J. (2017). UQ Theories Principles and Tools: Dakota Topics [Conference Poster]. https://www.osti.gov/biblio/1463778 Publication ID: 57683
  • Madison, J.D., Jackson, O.D.U., Swiler, L., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., & Salzbrenner, B. (2017). Relating Tomographic Defect Metrics to Mechanical Performance in Additively Manufactured Stainless Steel [Conference Poster]. https://www.osti.gov/biblio/1456768 Publication ID: 56854
  • Salzbrenner, B., Boyce, B., Carroll, J.D., Rodelas, J., Shen, Y., Madison, J.D., Jared, B.H., Swiler, L., & Swiler, L. (2017). High Throughput Stochastic Tensile Performance of Additively Manufactured Stainless Steels [Conference Poster]. https://doi.org/10.1016/j.jmatprotec.2016.10.023 Publication ID: 56955
  • Maupin, K., Swiler, L., & Swiler, L. (2017). Validation Metrics [Conference Poster]. https://www.osti.gov/biblio/1476812 Publication ID: 56972
  • Keiter, E., Swiler, L., Wilcox, I., & Wilcox, I. (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation [Conference Poster]. https://doi.org/10.1007/978-3-319-75538-0_6 Publication ID: 56209
  • Swiler, L. (2017). Uncertainty Quantification with thoughts on multiscale materials applications [Conference Poster]. https://www.osti.gov/biblio/1457979 Publication ID: 56274
  • Keiter, E., Swiler, L., Wilcox, I., & Wilcox, I. (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation [Conference Poster]. https://www.osti.gov/biblio/1367262 Publication ID: 56425
  • Hooper, R., Maupin, K., Swiler, L., Williams, B., Adams, B., Hooper, R., & Hooper, R. (2017). DAKOTA Update: Capabilities & Applications [Presentation]. https://www.osti.gov/biblio/1458046 Publication ID: 56549
  • Pautz, S., Franke, B., Swiler, L., Adams, B., Blansett, E., & Blansett, E. (2017). Adjoint-Based Sensitivities for Optimization of Satellite Electron/Proton Shields [Conference Poster]. https://www.osti.gov/biblio/1456470 Publication ID: 55750
  • Pautz, S., Adams, B., Swiler, L., Franke, B., Blansett, E., & Blansett, E. (2017). Adjoint-enabled Uncertainty Quantification for Satellite Shield Design [Conference Poster]. https://www.osti.gov/biblio/1456472 Publication ID: 55752
  • Madison, J.D., Swiler, L., Jackson, O.D.U., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., & Salzbrenner, B. (2017). Quantifying Defect Presence in an Additively Manufactured Precipitation Hardened 17-4 Stainless Steel [Conference Poster]. https://www.osti.gov/biblio/1456658 Publication ID: 55965
  • Salzbrenner, B., Rodelas, J., Madison, J.D., Jared, B.H., Swiler, L., Shen, Y.-L., Boyce, B., & Boyce, B. (2017). High-throughput stochastic tensile performance of additively manufactured stainless steel. Journal of Materials Processing Technology, 241, pp. 1-12. https://doi.org/10.1016/j.jmatprotec.2016.10.023 Publication ID: 51834
  • Madison, J.D., Swiler, L., Jackson, O.D.U., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., & Salzbrenner, B. (2017). Identification of Defect Signatures in an Additively Manufactured Precipitation-Hardened Stainless Steel [Conference Poster]. https://www.osti.gov/biblio/1425307 Publication ID: 55150
  • Pautz, S., Franke, B., Adams, B., Swiler, L., Blansett, E., & Blansett, E. (2017). Adjoint-Based Sensitivities for Optimization of Satellite Electron/Proton Shields [Conference Poster]. https://www.osti.gov/biblio/1420225 Publication ID: 54450
  • Maupin, K., Swiler, L., & Swiler, L. (2017). Validation Metrics for Deterministic and Probabilistic Data. https://doi.org/10.2172/1494178 Publication ID: 54811
  • Vugrin, E., Trucano, T., Swiler, L., Finley, P., Flanagan, T., Naugle, A., Tsao, J., Verzi, S., & Verzi, S. (2017). Recommended Research Directions for Improving the Validation of Complex Systems Models. https://doi.org/10.2172/1367494 Publication ID: 54940
  • Maupin, K., Swiler, L., & Swiler, L. (2017). Model Discrepancy in Dakota [Conference Poster]. https://www.osti.gov/biblio/1425297 Publication ID: 55044
  • Adams, B., Pautz, S., Swiler, L., Franke, B., Blansett, E., Bruss, D., & Bruss, D. (2017). Adjoint-enabled Optimization and UQ for Radiation Shield Design [Conference Poster]. https://www.osti.gov/biblio/1424860 Publication ID: 55115
  • Swiler, L., Romero, V., & Romero, V. (2016). A Survey of Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods (Presentation) [Conference Poster]. https://www.osti.gov/biblio/1412084 Publication ID: 48076
  • Ray, J., Swiler, L., Bao, J., Hou, Z., Huang, M., & Huang, M. (2016). Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model [Conference Poster]. https://www.osti.gov/biblio/1524688 Publication ID: 48134
  • Adams, B., Coleman, K., Hooper, R., Khuwaileh, B., Lewis, A., Smith, R., Swiler, L., Turinsky, P., Williams, B., & Williams, B. (2016). User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota. https://doi.org/10.2172/1333381 Publication ID: 47788
  • Ebeida, M., Mitchell, S., Swiler, L., Romero, V., Rushdi, A.A., & Rushdi, A.A. (2016). POF-Darts: Geometric adaptive sampling for probability of failure. Reliability Engineering and System Safety, 155, pp. 64-77. https://doi.org/10.1016/j.ress.2016.05.001 Publication ID: 50777
  • Jackson, O.D.U., Madison, J.D., Finfrock, C., Swiler, L., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., & Salzbrenner, B. (2016). Correlating Defect Populations with Mechanical Performance in AM Tensile Samples of PH 17-4 [Conference Poster]. https://www.osti.gov/biblio/1404795 Publication ID: 47244
  • Keiter, E., Swiler, L., Wilcox, I., & Wilcox, I. (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation [Conference Poster]. https://doi.org/10.1007/978-3-319-75538-0_6 Publication ID: 52379
  • Keiter, E., Swiler, L., Russo, T., Wilcox, I., & Wilcox, I. (2016). Sensitivity Analysis in Xyce. https://doi.org/10.2172/1562422 Publication ID: 52448
  • Keiter, E., Swiler, L., Wilcox, I., & Wilcox, I. (2016). Advanced Uncertainty Quantification Methods for Circuit Simulation: Final Report LDRD 2016-0845. https://doi.org/10.2172/1562425 Publication ID: 52449
  • Keiter, E., Swiler, L., Wilcox, I., & Wilcox, I. (2016). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation [Conference Poster]. https://www.osti.gov/biblio/1398359 Publication ID: 52620
  • Jared, B.H., Boyce, B., Madison, J.D., Ostien, J.T., Rodelas, J., Salzbrenner, B., Swiler, L., Jackson, O.D.U., & Jackson, O.D.U. (2016). Quantifying Material Performance & Defect Signatures in Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1422073 Publication ID: 51534
  • Madison, J.D., Finfrock, C., Swiler, L., Jackson, O.D.U., Boyce, B., Jared, B.H., Rodelas, J., Salzbrenner, B., & Salzbrenner, B. (2016). Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples [Conference Poster]. https://www.osti.gov/biblio/1375096 Publication ID: 51575
  • Tsao, J., Trucano, T., Kleban, S., Naugle, A., Verzi, S., Swiler, L., Johnson, C.M., Smith, M., Flanagan, T., Vugrin, E., Gabert, K., Lave, M., Chen, W., DeLaurentis, D., Hubler, A., Oberkampf, B., & Oberkampf, B. (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
  • Swiler, L. (2016). VVUQ Best Practices in Computational Science/Engineering Problems with some thoughts about extensions/limits to Complex Systems Models [Conference Poster]. https://www.osti.gov/biblio/1368493 Publication ID: 50630
  • Ray, J., Swiler, L., Huang, M., Hou, Z., & Hou, Z. (2016). A parallel Markov chain Monte Carlo method for calibrating computationally expensive models [Conference Poster]. https://www.osti.gov/biblio/1422090 Publication ID: 50021
  • Huang, M., Hou, Z., Ray, J., Swiler, L., Leung, L., & Leung, L. (2016). An Uncertainty Quantification Framework for Land Models [Conference Poster]. https://www.osti.gov/biblio/1364682 Publication ID: 50071
  • Swiler, L., Ray, J., & Ray, J. (2016). A Parallel MCMC Method [Conference Poster]. https://www.osti.gov/biblio/1364726 Publication ID: 50134
  • Swiler, L. (2016). Approaches for representing and propagating uncertainty that will be useful for multi-scale modeling [Presentation]. https://www.osti.gov/biblio/1239361 Publication ID: 46932
  • Romero, V., Swiler, L., Ebeida, M., Mitchell, S., Glickman, M., & Glickman, M. (2016). Some Test Problems and Results in Assessing Methods for Calculating Low Probabilities of Failure [Conference Poster]. https://www.osti.gov/biblio/1339060 Publication ID: 46586
  • Rushdi, A., Swiler, L., Mitchell, S., Jakeman, J., Phipps, E., Ebeida, M., & Ebeida, M. (2016). VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting [Presentation]. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2016018697 Publication ID: 46599
  • Ebeida, M., Rushdi, A., Swiler, L., Mitchell, S., Owens, J., Ashkiani, S., Patney, A., & Patney, A. (2016). Recursive k-d Darts for Exploring High-Dimensional Spaces [Presentation]. https://www.osti.gov/biblio/1514296 Publication ID: 46601
  • Ray, J., Swiler, L., Pau, G., Bisht, G., Hoffman, F., Huang, M., Hou, Z., Chen, X., & Chen, X. (2016). Improving predictive capability of land surface models through robust statistical calibration techniques [Conference Poster]. https://www.osti.gov/biblio/1342355 Publication ID: 46878
  • Gamble, K.A., Swiler, L., & Swiler, L. (2016). Uncertainty quantification and sensitivity analysis applications to fuel performance modeling [Conference Poster]. Top Fuel 2016: LWR Fuels with Enhanced Safety and Performance. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019029701&origin=inward Publication ID: 49982
  • Jared, B.H., Boyce, B., Madison, J.D., Ostien, J.T., Rodelas, J., Salzbrenner, B., Swiler, L., Jackson, O.D.U., Saiz, D.J., & Saiz, D.J. (2016). The challenges and consequences of material uncertainties in metal laser powder bed fusion [Conference Poster]. Proceedings – 32nd ASPE Annual Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85040323385&origin=inward Publication ID: 53828
  • Ray, J., Swiler, L., Huang, M., Hou, Z., & Hou, Z. (2015). Bayesian calibration of the Community Land Model using a multi-chain Markov chain Monte Carlo method [Conference Poster]. https://www.osti.gov/biblio/1530497 Publication ID: 41937
  • Bao, J., Ren, H., Huang, M., Ray, J., Swiler, L., & Swiler, L. (2015). A Scalable Multi-chain Markov Chain Monte Carlo Method for Inverting Subsurface Hydraulic and Geological Properties [Conference Poster]. https://www.osti.gov/biblio/1339205 Publication ID: 42000
  • Mitchell, S., Ebeida, M., Romero, V., Swiler, L., Rushdi, A., Abdelkader, A., & Abdelkader, A. (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
  • Swiler, L., Gamble, K., Schmidt, R., Williamson, R., & Williamson, R. (2015). Sensitivity Analysis of OECD Benchmark Tests in BISON. https://doi.org/10.2172/1227986 Publication ID: 46030
  • Swiler, L., Adams, B., & Adams, B. (2015). Bayesian Calibration in Dakota [Presentation]. https://www.osti.gov/biblio/1514130 Publication ID: 45052
  • Adams, B., Hough, P., Swiler, L., & Swiler, L. (2015). Dakota Software Training: Model Calibration [Presentation]. https://www.osti.gov/biblio/1298884 Publication ID: 45058
  • Swiler, L., Eldred, M., Adams, B., & Adams, B. (2015). Uncertainty Quantification Methods in the Dakota Toolkit. https://www.osti.gov/biblio/1331537 Publication ID: 45288
  • Swiler, L., Romero, V., & Romero, V. (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
  • Swiler, L. (2015). VVUQ Best Practices in NEAMS [Conference Poster]. https://www.osti.gov/biblio/1257691 Publication ID: 43985
  • Swiler, L. (2015). Gaussian Process Models Tutorial [Presentation]. https://www.osti.gov/biblio/1257692 Publication ID: 43986
  • Lefantzi, S., Arunajatesan, S., Dechant, L., Hou, Z., Huang, M., Sargsyan, K., Swiler, L., & Swiler, L. (2015). Bayesian calibration of engineering and scientific models using surrogates [Conference Poster]. https://www.osti.gov/biblio/1253310 Publication ID: 43426
  • Keiter, E., Swiler, L., & Swiler, L. (2015). Uncertainty Quantification Methods for Electrical Simulation [Presentation]. https://www.osti.gov/biblio/1248668 Publication ID: 42933
  • Thompson, A., Swiler, L., Trott, C.R., Foiles, S., Tucker, G.J., & Tucker, G.J. (2015). Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials. Journal of Computational Physics, 285, pp. 316-330. https://doi.org/10.1016/j.jcp.2014.12.018 Publication ID: 38482
  • Ray, J., Swiler, L., Huang, M., Zhangshuan, H., & Zhangshuan, H. (2015). Estimating a model discrepancy term for the Community Land Model using latent heat and runoff observations [Conference Poster]. https://www.osti.gov/biblio/1240842 Publication ID: 42326
  • Ray, J., Swiler, L., Huang, M., hou, J., & hou, J. (2015). Use of Parallel MCMC Methods with the Community Land Model [Conference Poster]. https://www.osti.gov/biblio/1246298 Publication ID: 42504
  • Hou, Z., Huang, M., Ray, J., Swiler, L., & Swiler, L. (2015). Quantification of structural uncertainty in a land surface model [Conference Poster]. https://www.osti.gov/biblio/1331643 Publication ID: 42564
  • Dalbey, K., Adams, B., Stephens, J., Swiler, L., & Swiler, L. (2015). Dakota Sensitivity Analysis and Uncertainty Quantification with Examples [Conference Poster]. https://www.osti.gov/biblio/1244466 Publication ID: 42678
  • Ivey, M., Robinson, D., Boslough, M., Backus, G.A., Peterson, K., van Bloemen Waanders, B., Swiler, L., Desilets, D., Reinert, R., & Reinert, R. (2015). Arctic Climate Systems Analysis. https://doi.org/10.2172/1177602 Publication ID: 42803
  • Hou, Z., Ray, J., Huang, M., Swiler, L., & Swiler, L. (2015). Applicability of surrogate-based MCMC-Bayesian inversion of CLM at flux tower sites with various field conditions [Conference Poster]. https://www.osti.gov/biblio/1504327 Publication ID: 41465
  • Eldred, M., Swiler, L., Adams, B., Jakeman, J.D., & Jakeman, J.D. (2015). Overview of selected DOE/NNSA predictive science initiatives: The predictive science academic alliance program and the DAKOTA project [Conference Poster]. 53rd AIAA Aerospace Sciences Meeting. https://doi.org/10.2514/6.2015-0500 Publication ID: 39970
  • Safta, C., Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B., Swiler, L., Eldred, M., & Eldred, M. (2015). Probabilistic methods for sensitivity analysis and calibration in the NASA challenge problem. Journal of Aerospace Information Systems, 12(1), pp. 219-234. https://doi.org/10.2514/1.I010256 Publication ID: 40146
  • Ray, J., Hou, Z., Huang, M., Swiler, L., & Swiler, L. (2014). Using runoff data to calibrate the Community Land Model [Conference Poster]. https://www.osti.gov/biblio/1319743 Publication ID: 39826
  • Swiler, L. (2014). Sensitivity Analysis of the Gap Heat Transfer Model in BISON [Conference Poster]. https://www.osti.gov/biblio/1242739 Publication ID: 39695
  • Ebeida, M., Mitchell, S., Swiler, L., Romero, V., & Romero, V. (2014). POF-Darts: Geometric Adaptive Sampling for Probability of Failure. SIAM Journal on Uncertainty Quantification. https://www.osti.gov/biblio/1184488 Publication ID: 38951
  • Swiler, L., Schmidt, R., Williamson, R., Perez, D., & Perez, D. (2014). Sensitivity Analysis of the Gap Heat Transfer Model in BISON. https://doi.org/10.2172/1160301 Publication ID: 38963
  • Thompson, A., Schultz, P., Crozier, P.S., Moore, S., Swiler, L., Stephens, J., Trott, C.R., Foiles, S., Tucker, G., & Tucker, G. (2014). Automated Algorithms for Quantum-Level Accuracy in Atomistic Simulations: LDRD Final Report. https://doi.org/10.2172/1158668 Publication ID: 38622
  • Adams, B., Jakeman, J., Swiler, L., Stephens, J., Vigil, D., Wildey, T., Bauman, L., Bohnhoff, W., Dalbey, K., Eddy, J., Ebeida, M., Eldred, M., Hough, P., Hu, K., & Hu, K. (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
  • Adams, B., Jakeman, J., Swiler, L., Stephens, J., Vigil, D., Wildey, T., Bauman, L., Bohnhoff, W., Dalbey, K., Eddy, J., Ebeida, M., Eldred, M., Hough, P., Hu, K., & Hu, K. (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
  • Groth, K.M., Swiler, L., Adams, S., & Adams, S. (2014). A Bayesian method for using simulator data to enhance human error probabilities assigned by existing HRA methods. Reliability Engineering and System Safety, 128, pp. 32-40. https://doi.org/10.1016/j.ress.2014.03.010 Publication ID: 32757
  • Swiler, L., Wildey, T., & Wildey, T. (2014). Sensitivity of precipitation to parameter values in the community atmosphere model version 5. https://doi.org/10.2172/1204103 Publication ID: 37049
  • Ray, J., Swiler, L., & Swiler, L. (2014). Estimation of Structural Error in the Community Land Model Using Latent Heat Observations [Conference]. https://www.osti.gov/biblio/1141762 Publication ID: 40149
  • Dalbey, K., Swiler, L., & Swiler, L. (2014). Gaussian Process Adaptive Importance Sampling (GPAIS) [Conference]. https://www.osti.gov/biblio/1141661 Publication ID: 40220
  • Ray, J., Swiler, L., & Swiler, L. (2014). Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data [Conference]. https://www.osti.gov/biblio/1141487 Publication ID: 40224
  • Ray, J., Swiler, L., & Swiler, L. (2014). Bayesian calibration of the Community Land Model using surrogates. https://doi.org/10.2172/1204075 Publication ID: 37070
  • Foiles, S., Thompson, A., Swiler, L., Trott, C.R., & Trott, C.R. (2014). A New Approach for Interatomic Potentials: Application to Tantalum [Conference]. https://www.osti.gov/biblio/1140507 Publication ID: 37159
  • Ray, J., Swiler, L., Sargsyan, K., & Sargsyan, K. (2014). BAYESIAN CALIBRATION OF THE COMMUNITY LAND MODEL USING SURROGATES. SIAM Journal of Uncertainty Quantification. https://www.osti.gov/biblio/1141039 Publication ID: 37288
  • Swiler, L., Ray, J., Sargsyan, K., & Sargsyan, K. (2014). Bayesian calibration of hydrological parameters in the Community Land Model (CODA Presentation) [Conference]. https://www.osti.gov/biblio/1140888 Publication ID: 37304
  • Swiler, L., Hough, P.D., Qian, P., Xu, X., Storlie, C., Lee, H., & Lee, H. (2014). Surrogate models for mixed discrete-continuous variables. Studies in Computational Intelligence. https://doi.org/10.2172/1055621 Publication ID: 26002
  • Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B., Swiler, L., Eldred, M., & Eldred, M. (2014). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis [Conference]. https://doi.org/10.2514/6.2014-1497 Publication ID: 36802
  • Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B., Swiler, L., Eldred, M., & Eldred, M. (2013). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis [Conference]. https://doi.org/10.2514/6.2014-1497 Publication ID: 31866
  • Romero, V., Swiler, L., Urbina, A., & Urbina, A. (2013). A comparison of methods for representing sparsely sampled random quantities. https://doi.org/10.2172/1096268 Publication ID: 33913
  • Swiler, L. (2013). Sensitivity Analyses using BISON [Conference]. https://www.osti.gov/biblio/1115040 Publication ID: 35795
  • Swiler, L. (2013). DAKOTA reliability methods applied to RAVEN/RELAP-7. https://doi.org/10.2172/1096510 Publication ID: 36014
  • Weirs, V.G., Orient, G.E., Swiler, L., Romero, V., Carnes, B., & Carnes, B. (2013). Proposal for the 2014 Verification and Validation Challenge Workshop [Conference]. https://www.osti.gov/biblio/1106789 Publication ID: 34693
  • Swiler, L. (2013). Sensitivity analysis of the fission gas behavior model in BISON. https://doi.org/10.2172/1089870 Publication ID: 33542
  • Weirs, V.G., Carnes, B., Hu, K., Orient, G.E., Romero, V., Swiler, L., & Swiler, L. (2013). Proposal for FY14 V&V Challenge Workshop [Conference]. https://www.osti.gov/biblio/1079791 Publication ID: 33646
  • Thompson, A., Trott, C.R., Swiler, L., Tucker, G.J., Foiles, S., Plimpton, S.J., & Plimpton, S.J. (2013). Quantum-Accurae LAMMPS SNAP Simulations on Petascale Platforms [Presentation]. https://www.osti.gov/biblio/1661293 Publication ID: 33650
  • Dalbey, K., Swiler, L., & Swiler, L. (2013). Gaussian Process Adaptive Importance Sampling. International Journal for Uncertainty Quantification. https://www.osti.gov/biblio/1080020 Publication ID: 33716
  • Romero, V., Swiler, L., Urbina, A., & Urbina, A. (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables – Final Results [Conference]. https://www.osti.gov/biblio/1073212 Publication ID: 32812
  • Romero, V., Swiler, L., Urbina, A., & Urbina, A. (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables – Final Results [Conference]. https://www.osti.gov/biblio/1115997 Publication ID: 32824
  • Adams, B., Eldred, M., Swiler, L., & Swiler, L. (2013). Dakota: Advanced Exploration of Simulations [Presentation]. https://www.osti.gov/biblio/1660832 Publication ID: 33095
  • Swiler, L. (2013). Calibration of a Fuel Relocation Model in BISON [Conference]. https://www.osti.gov/biblio/1083827 Publication ID: 33317
  • Orient, G.E., Carnes, B., Romero, V., Swiler, L., Weirs, V.G., & Weirs, V.G. (2013). Proposal for FY14 V&V Challenge Workshop [Conference]. https://www.osti.gov/biblio/1115651 Publication ID: 33324
  • Groth, K.M., Swiler, L., & Swiler, L. (2013). Use of limited data to construct Bayesian networks for probabilistic risk assessment. https://doi.org/10.2172/1095131 Publication ID: 32505
  • Thompson, A., Schultz, P., Swiler, L., Trott, C.R., Tucker, G.J., Foiles, S., & Foiles, S. (2013). Automated generation of quantum-accurate classical interatomic potentials for metals and semiconductors [Conference]. https://www.osti.gov/biblio/1069031 Publication ID: 32541
  • Romero, V., Swiler, L., Urbina, A., & Urbina, A. (2013). A Comparison of Methods for Representing and Aggregating Uncertainties involving Sparsely Sampled Random Variables ? More Results [Conference]. https://www.osti.gov/biblio/1064330 Publication ID: 32284
  • Swiler, L. (2013). Calibration of a Fuel Relocation Model in BISON [Conference]. https://www.osti.gov/biblio/1116075 Publication ID: 31308
  • Swiler, L. (2013). Uncertainty Quantification: UQ Methods DAKOTA Nuclear Energy Applications [Conference]. https://www.osti.gov/biblio/1063324 Publication ID: 31403
  • Weirs, V.G., Kamm, J., Swiler, L., Tarantola, S., Ratto, M., Adams, B., Rider, W., Eldred, M., & Eldred, M. (2012). Sensitivity analysis techniques applied to a system of hyperbolic conservation laws [Conference]. Reliability Engineering and System Safety. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866322991&origin=inward Publication ID: 19071
  • Swiler, L., Romero, V., & Romero, V. (2012). A Survey of Advanced Probabilistic Uncertainty Propagation and Sensitivity Analysis Methods [Conference]. https://www.osti.gov/biblio/1063371 Publication ID: 26233
  • Wildey, T., Swiler, L., & Swiler, L. (2012). Progress on Calibration of 2-Degree Simulations from CAM5 [Presentation]. https://www.osti.gov/biblio/1648264 Publication ID: 30744
  • Dalbey, K., Swiler, L., & Swiler, L. (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
  • Groth, K.M., Swiler, L., & Swiler, L. (2012). Using limited data to construct Bayesian Networks for Human Reliability Analysis [Presentation]. https://www.osti.gov/biblio/1650253 Publication ID: 29040
  • Groth, K.M., Swiler, L., & Swiler, L. (2012). SPAR-H Bayesian Network for predicting Human Error Probabilities with missing observations [Conference]. https://www.osti.gov/biblio/1064236 Publication ID: 28662
  • Dalbey, K., Swiler, L., & Swiler, L. (2012). Gaussian Process Adaptive Importance Sampling (GPAIS). Proposed for publication in Physical Review Letters.. https://www.osti.gov/biblio/1064102 Publication ID: 28744
  • Dalbey, K., Swiler, L., & Swiler, L. (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) [Conference]. https://www.osti.gov/biblio/1067635 Publication ID: 28336
  • Hu, K., Swiler, L., & Swiler, L. (2012). Bayesian Model Selection on Undetermined Nuclear Reactor Models [Conference]. https://www.osti.gov/biblio/1117292 Publication ID: 27806
  • Swiler, L., Hu, K., & Hu, K. (2012). Bayesian Model Selection Between Underdetermined Nuclear Reactor Models [Conference]. https://www.osti.gov/biblio/1117803 Publication ID: 27304
  • Swiler, L., Dalbey, K., & Dalbey, K. (2012). Importance Sampling for Rare Event Estimation with Computer Experiments [Conference]. https://www.osti.gov/biblio/1068512 Publication ID: 27337
  • Adams, B., Swiler, L., Eldred, M., & Eldred, M. (2012). Practical UQ for Engineering Applications with DAKOTA [Conference]. https://www.osti.gov/biblio/1117563 Publication ID: 27403
  • Swiler, L. (2012). Evaluation of Mixed Continuous-Discrete Surrogate Approaches [Conference]. https://www.osti.gov/biblio/1078615 Publication ID: 27423
  • Gray, G., Hart, W., Hough, P., Parekh, O., Phillips, C., Siirola, J.D., Swiler, L., Watson, J., & Watson, J. (2012). Optimization of large-scale heterogeneous system-of-systems models. https://doi.org/10.2172/1034869 Publication ID: 26013
  • Groth, K.M., Swiler, L., & Swiler, L. (2012). Use of a SPAR-H Bayesian Network for predicting Human Error Probabilities with missing observations [Conference]. https://www.osti.gov/biblio/1062822 Publication ID: 26054
  • Urbina, A., Swiler, L., & Swiler, L. (2011). Decision making under epistemic uncertainty for a complex mechanical system [Conference]. Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84872470429&origin=inward Publication ID: 19561
  • Romero, V., Swiler, L., Urbina, A., & Urbina, A. (2011). An initial comparison of methods for representing and aggregating experimental uncertainties involving sparse data [Conference]. Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84872436691&origin=inward Publication ID: 22066
  • Adams, B., Bohnhoff, W., Dalbey, K., Eddy, J., Eldred, M., Hough, P., Lefantzi, S., Swiler, L., Vigil, D., & Vigil, D. (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
  • Swiler, L. (2011). Uncertainty Quantification: Part 3. Presentation at the Risk Informed Safety Margin Characterization workshop [Conference]. https://www.osti.gov/biblio/1111694 Publication ID: 25314
  • Swiler, L., Urbina, A., & Urbina, A. (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
  • Swiler, L. (2011). Multiple Model Inference: Calibration Selection and Prediction with Multiple Models [Conference]. https://www.osti.gov/biblio/1109382 Publication ID: 24676
  • Swiler, L., Eldred, M., & Eldred, M. (2011). Reliability Methods: Determining small failure probabilities [Conference]. https://www.osti.gov/biblio/1106872 Publication ID: 24062
  • Swiler, L., Eldred, M., & Eldred, M. (2011). “Mixed” Epistemic-Aleatory UQ using Stochastic Expansion methods [Conference]. https://www.osti.gov/biblio/1120319 Publication ID: 23188
  • Hough, P., Swiler, L., & Swiler, L. (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches [Conference]. https://www.osti.gov/biblio/1108098 Publication ID: 22749
  • Romero, V., Swiler, L., Urbina, A., & Urbina, A. (2011). An Initial Comparison of Methods for Representing and Aggregating Experimental Uncertainties involving Sparse Data [Conference]. https://www.osti.gov/biblio/1108523 Publication ID: 22203
  • Swiler, L., Urbina, A., & Urbina, A. (2011). Multiple Model Inference: Calibration and Selection with Multiple Models [Conference]. https://www.osti.gov/biblio/1108237 Publication ID: 22558
  • Hough, P., Swiler, L., & Swiler, L. (2011). Mixed Variable Surrogate Models for Engineering Analysis [Conference]. https://www.osti.gov/biblio/1108818 Publication ID: 21987
  • Adams, B., Eldred, M., Swiler, L., & Swiler, L. (2011). Managing Complexity in Simulation-Based Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1120645 Publication ID: 22021
  • Swiler, L., Urbina, A., Urbina, A., & Urbina, A. (2011). Multiple Model Inference: Calibration Selection and Prediction with Multiple Models [Conference]. https://www.osti.gov/biblio/1120608 Publication ID: 22031
  • Swiler, L., Hough, P., & Hough, P. (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches [Conference]. https://www.osti.gov/biblio/1120662 Publication ID: 21692
  • Swiler, L. (2011). Uncertainty Quantification: Introduction [Conference]. https://www.osti.gov/biblio/1110595 Publication ID: 21227
  • Weirs, V.G., Swiler, L., Adams, B., Rider, W., Eldred, M., & Eldred, M. (2010). Sensitivity analysis techniques applied to a model shock problem [Conference]. https://www.osti.gov/biblio/1035611 Publication ID: 20964
  • Weirs, V.G., Kamm, J., Swiler, L., Adams, B., Rider, W., Eldred, M., & Eldred, M. (2010). Sensitivity analysis techniques applied to a model shock problem [Conference]. https://www.osti.gov/biblio/1035999 Publication ID: 21030
  • Adams, B., Dalbey, K., Swiler, L., & Swiler, L. (2010). Surrogate modeling with surfpack [Conference]. https://www.osti.gov/biblio/1035640 Publication ID: 20899
  • Kamm, J., Weirs, V.G., Swiler, L., Adams, B., Rider, W., Eldred, M., & Eldred, M. (2010). A Sensitivity Analysis of the Gas Dynamics Equations [Conference]. https://www.osti.gov/biblio/1121790 Publication ID: 20131
  • Swiler, L., Knupp, P., & Knupp, P. (2010). Predictive Capability Maturity Model (PCMM) [Conference]. https://www.osti.gov/biblio/1028336 Publication ID: 20524
  • Weirs, V.G., Kamm, J., Swiler, L., Adams, B., Rider, W., Eldred, M., & Eldred, M. (2010). Sensitivity analysis techniques applied to a model shock problem [Conference]. https://www.osti.gov/biblio/1027079 Publication ID: 20037
  • Weirs, V.G., Swiler, L., Adams, B., Kamm, J., Rider, W., Eldred, M., & Eldred, M. (2010). Sensitivity analysis techniques applied to a system of hyperbolic conservation laws. Part I [Conference]. https://www.osti.gov/biblio/1021144 Publication ID: 19070
  • Swiler, L., Urbina, A., & Urbina, A. (2010). Multiple model inference [Conference]. https://www.osti.gov/biblio/1021608 Publication ID: 19278
  • Proctor, W., Swiler, L., Eldred, M., & Eldred, M. (2010). Global sensitivity analysis [Conference]. https://www.osti.gov/biblio/1020435 Publication ID: 18552
  • Adams, B., Dalbey, K., Eldred, M., Swiler, L., Bohnhoff, W., Eddy, J., Haskell, K., Hough, P., & Hough, P. (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
  • Adams, B., Dalbey, K., Eldred, M., Swiler, L., Bohnhoff, W., Eddy, J., Haskell, K., Hough, P., & Hough, P. (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
  • Adams, B., Dalbey, K., Eldred, M., Swiler, L., Bohnhoff, W., Eddy, J., Haskell, K., Hough, P., & Hough, P. (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
  • Swiler, L. (2010). Uncertainty Quantification R&D with Applications to Nuclear Weapons [Presentation]. https://www.osti.gov/biblio/1681096 Publication ID: 18343
  • Swiler, L. (2010). Importance sampling : promises and limitations [Conference]. https://www.osti.gov/biblio/992774 Publication ID: 17831
  • Swiler, L. (2010). Importance sampling : promises and limitations [Conference]. https://www.osti.gov/biblio/992772 Publication ID: 17835
  • Swiler, L., Eldred, M., Adams, B., & Adams, B. (2010). Uncertainty Quantification: Lecture for TEDS CLASS ESP700 [Presentation]. https://www.osti.gov/biblio/1694488 Publication ID: 17563
  • Eldred, M., Swiler, L., & Swiler, L. (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
  • Eldred, M., Swiler, L., & Swiler, L. (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
  • Adams, B., Swiler, L., Eldred, M., & Eldred, M. (2009). DAKOTA Training 2008: Optimization and Calibration [Presentation]. https://www.osti.gov/biblio/1696903 Publication ID: 15683
  • Paez, T., Swiler, L., & Swiler, L. (2008). Probabilistic Methods in Model Validation [Conference]. https://www.osti.gov/biblio/1142297 Publication ID: 15178
  • Swiler, L., Paez, T., Mayes, R.L., & Mayes, R.L. (2008). Epistemic uncertainty quantification tutorial [Conference]. https://www.osti.gov/biblio/950891 Publication ID: 14991
  • Swiler, L., Adams, B., Eldred, M., & Eldred, M. (2008). Model Calibration under Uncertainty: Matching Distribution Information Presentation [Conference]. https://www.osti.gov/biblio/1142385 Publication ID: 14753
  • Swiler, L., Vugrin, K., & Vugrin, K. (2007). Calibration under Uncertainty: Comparison of Least-Squares and Bayesian methods [Conference]. https://www.osti.gov/biblio/1147402 Publication ID: 11193
  • Joo, J., Plimpton, S.J., Swiler, L., Faulon, J.-L., & Faulon, J.-L. (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
  • Vugrin, K., Roberts, R., Swiler, L., & Swiler, L. (2007). Confidence Region Estimation for Groundwater Parameter Identification Problems [Conference]. https://www.osti.gov/biblio/1147659 Publication ID: 10991
  • McFadden, F., Romero, V., Swiler, L., & Swiler, L. (2007). Effective Robust Design Strategy employing Ordinal Variance Minimization and Adaptive Mean Constraint Satisfaction [Conference]. https://www.osti.gov/biblio/1147657 Publication ID: 11035
  • Swiler, L., Giunta, A., & Giunta, A. (2007). Aleatory and epistemic uncertainty quantification for engineering applications [Conference]. https://www.osti.gov/biblio/908070 Publication ID: 9678
  • Swiler, L., Giunta, A., & Giunta, A. (2007). Aleatory and Epistemic Uncertainty Quantification for Engineering Applications [Conference]. https://www.osti.gov/biblio/1147526 Publication ID: 10698
  • Swiler, L., Fan, W., Turner, C., Oberkampf, W.L., & Oberkampf, W.L. (2007). Uncertainty analysis for electrical cables in radiation environments [Conference]. https://www.osti.gov/biblio/908854 Publication ID: 9708
  • Romero, V., Slepoy, R., Swiler, L., Giunta, A.A., Krishnamurthy, T., & Krishnamurthy, T. (2006). Error estimation approaches for progressive response surfaces -more results [Conference]. Conference Proceedings of the Society for Experimental Mechanics Series. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861548147&origin=inward Publication ID: 6405
  • Swiler, L., Hough, P., Gray, G., Chiesa, M., Heaphy, R., Thomas, S., Trucano, T., & Trucano, T. (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
  • Brown, S., Griffin, J., Hough, P., Kolda, T., Martinez-Canales, M., Williams, P.J., Adams, B., Dunlavy, D., Swiler, L., Giunta, A., Hart, W., Watson, J., Eddy, J., & Eddy, J. (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
  • Brown, S., Griffin, J., Hough, P., Kolda, T., Martinez-Canales, M., Williams, P.J., Adams, B., Dunlavy, D., Swiler, L., Giunta, A., Hart, W., Watson, J., Eddy, J., & Eddy, J. (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
  • Swiler, L., Giunta, A., Hart, W., Watson, J., Eddy, J., Griffin, J., Hough, P., Kolda, T., Martinez-Canales, M., Williams, P.J., Eldred, M., Brown, S., Adams, B., Dunlavy, D., & Dunlavy, D. (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
  • Swiler, L., Giunta, A., Eldred, M., Adams, B., Romero, V., Martinez-Canales, M., & Martinez-Canales, M. (2006). DAKOTA and its use in Computational Experiments [Conference]. https://www.osti.gov/biblio/1264108 Publication ID: 8161
  • Giunta, A., Swiler, L., Brown, S., Eldred, M., & Eldred, M. (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data [Conference]. https://www.osti.gov/biblio/1266128 Publication ID: 7913
  • Swiler, L., Trucano, T., Oberkampf, W.L., Dowding, K.J., Giunta, A., Romero, V., Romero, V., & Romero, V. (2006). Methodology Status and Needs: Verification Validation and Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1264551 Publication ID: 7925
  • McFarland, J., Swiler, L., Giunta, A., & Giunta, A. (2006). Bayesian Calibration of the QASPR Model [Conference]. https://www.osti.gov/biblio/1264037 Publication ID: 7746
  • Bichon, B., Eldred, M., Swiler, L., McFarland, J., & McFarland, J. (2006). Multimodal Reliability Assessment for Complex Engineering Applications using Sequential Kriging Optimization [Conference]. https://www.osti.gov/biblio/1264585 Publication ID: 7747
  • Swiler, L., Brown, S., Eldred, M., & Eldred, M. (2006). The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data [Conference]. https://www.osti.gov/biblio/1266127 Publication ID: 7842
  • Swiler, L. (2006). Solutions to the Thermal Problem prepared for the ASC Validation Challenge Workshop: The Importance of Assumptions [Conference]. https://www.osti.gov/biblio/1266078 Publication ID: 7452
  • Giunta, A., Eldred, M., Swiler, L., & Swiler, L. (2006). The DAKOTA Toolkit and its use in Computational Experiments [Conference]. https://www.osti.gov/biblio/1264111 Publication ID: 7655
  • Swiler, L. (2006). 1411 Department Review 2006 [Presentation]. https://www.osti.gov/biblio/1729806 Publication ID: 7300
  • Swiler, L. (2006). Bayesian methods in engineering design problems. https://doi.org/10.2172/883142 Publication ID: 5314
  • Swiler, L. (2006). Verification of LHS distributions. https://doi.org/10.2172/882044 Publication ID: 6952
  • Swiler, L. (2006). Gaussian processes in response surface modeling [Conference]. https://www.osti.gov/biblio/902568 Publication ID: 6624
  • Swiler, L., Hough, P., & Hough, P. (2006). Gaussian processes in trust-region optimization methods [Conference]. https://www.osti.gov/biblio/900383 Publication ID: 6735
  • Giunta, A., Swiler, L., Brown, S., Eldred, M., Richards, M.D., Cyr, E.C., & Cyr, E.C. (2006). The surfpack software library for surrogate modeling of sparse irregularly spaced multidimensional data [Conference]. Collection of Technical Papers – 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33846476203&origin=inward Publication ID: 6871
  • Giunta, A., Eldred, M., Swiler, L., Trucano, T., & Trucano, T. (2005). Perspectives on optimization under uncertainty: Algorithms and applications [Conference]. https://www.osti.gov/biblio/947287 Publication ID: 4431
  • Rutherford, B., Swiler, L., Paez, T., Urbina, A., & Urbina, A. (2005). Response surface (Meta-model) methods and applications [Conference]. https://www.osti.gov/biblio/882055 Publication ID: 6464
  • Swiler, L. (2005). Validation of the thermal challenge problem using Bayesian Belief Networks. https://doi.org/10.2172/875636 Publication ID: 6062
  • Swiler, L. (2005). Gaussian processes in response surface modeling [Conference]. https://www.osti.gov/biblio/878571 Publication ID: 6165
  • Vugrin, K., Swiler, L., Roberts, R., & Roberts, R. (2005). Confidence region estimation techniques for nonlinear regression :three case studies. https://doi.org/10.2172/877714 Publication ID: 6166
  • McFarland, J., Giunta, A., Swiler, L., & Swiler, L. (2005). Advanced uncertainty quantification methods for engineering applications [Conference]. https://www.osti.gov/biblio/969552 Publication ID: 5920
  • Giunta, A., Swiler, L., Eldred, M., & Eldred, M. (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
  • Swiler, L., Trucano, T., & Trucano, T. (2005). Calibration Under Uncertainty. https://doi.org/10.2172/1143309 Publication ID: 4693
  • Swiler, L. (2005). Bayesian methods in CS&E models [Conference]. https://www.osti.gov/biblio/948229 Publication ID: 4384
  • Giunta, A., Swiler, L., Eldred, M., Hart, W., Phillips, C., Watson, J., & Watson, J. (2005). Optimization under uncertainty research and applications at Sandia National Laboratories [Conference]. https://www.osti.gov/biblio/943858 Publication ID: 4432
  • Swiler, L., Wyss, G., & Wyss, G. (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
  • Romero, V., Swiler, L., & Swiler, L. (2004). Progressive response surfaces [Conference]. https://www.osti.gov/biblio/959302 Publication ID: 3396
  • Swiler, L., Swiler, L., Campbell, J., Lowder, K., Doser, A., & Doser, A. (2003). Algorithm development for Prognostics and Health Management (PHM). https://doi.org/10.2172/918353 Publication ID: 2711
  • Swiler, L., Swiler, L., & Swiler, L. (2003). Prognostics for accessory drive gearboxes on fixed-wing aircraft [Conference]. https://www.osti.gov/biblio/915167 Publication ID: 1772
  • Romero, V., Swiler, L., Giunta, A., & Giunta, A. (2000). Application of finite element, global polynomial, and kriging response surfaces in Progressive Lattice Sampling designs [Conference]. https://www.osti.gov/biblio/756086 Publication ID: 444
Showing 10 of 335 publications.