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

  • Nichol, J.J., Weylandt, M., Smith, M.A., Swiler, L.P., & Swiler, L.P. (2023). Benchmarking the PCMCI Causal Discovery Algorithm for Spatiotemporal Systems. https://doi.org/10.2172/1991387 Publication ID: 106984
  • Hart, J.L., Gulian, M., Manickam, I., Swiler, L.P., & Swiler, L.P. (2023). Solving inverse problems via neural network flow map approximation [Conference Presenation]. https://doi.org/10.2172/2431580 Publication ID: 129424
  • Naugle, A.B., Krofcheck, D.J., Warrender, C., Lakkaraju, K., Swiler, L.P., Verzi, S.J., 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.B., Verzi, S.J., Lakkaraju, K., Swiler, L.P., 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
  • Debusschere, B.J., Seidl, D.T., Berg, T.M., Chang, K.W., Leone, R.C., Swiler, L.P., Mariner, P.E., & Mariner, P.E. (2023). Machine Learning Surrogates of a Fuel Matrix Degradation Process Model for Performance Assessment of a Nuclear Waste Repository. Nuclear Technology, 209(9), pp. 1295-1318. https://doi.org/10.1080/00295450.2023.2197666 Publication ID: 123668
  • Portone, T., Mariner, P.E., Bachman, W.B., Basurto, E., Leone, R.C., Stein, E., Swiler, L.P., & Swiler, L.P. (2022). Sensitivity analysis for deep geologic repository simulations in crystalline rock [Conference Presenation]. https://doi.org/10.2172/2006253 Publication ID: 121724
  • Bull, D.L., Peterson, K., Tezaur, I.K., Shand, L., Swiler, L.P., & Swiler, L.P. (2022). CLDERA. AGU Fall 2022 [Conference Poster]. https://doi.org/10.2172/2006286 Publication ID: 121856
  • Brooks, D.M., Swiler, L.P., Stein, E., Mariner, P.E., Basurto, E., Portone, T., Eckert, A., Leone, R.C., & Leone, R.C. (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
  • Portone, T., Geraci, G., Swiler, L.P., Eldred, M., & Eldred, M. (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems [Conference Presenation]. https://doi.org/10.2172/2005951 Publication ID: 120548
  • Debusschere, B.J., Seidl, D.T., Berg, T.M., Chang, K.W., Leone, R.C., Swiler, L.P., Mariner, P.E., & Mariner, P.E. (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository [Conference Presenation]. https://doi.org/10.2172/2006027 Publication ID: 120840
  • Swiler, L.P. (2022). Scientific Machine Learning needs in climate attribution: an application example [Conference Presenation]. https://doi.org/10.2172/2005330 Publication ID: 118768
  • Mariner, P.E., Debusschere, B.J., Fukuyama, D.E., Harvey, J.A., Laforce, T., Leone, R.C., Bachman, W.B., Swiler, L.P., Taconi, A., & Taconi, A. (2022). GDSA Framework Development and Process Model Integration FY2022. https://doi.org/10.2172/1893995 Publication ID: 80378
  • Modine, N.A., Stephens, J.A., Swiler, L.P., Thompson, A.P., Vogel, D.J., 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.P., Basurto, E., Brooks, D.M., Eckert, A., Leone, R.C., Mariner, P.E., Portone, T., Bachman, W.B., & Bachman, W.B. (2022). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2022). https://doi.org/10.2172/1884909 Publication ID: 80086
  • Thorpe, J., Swiler, L.P., Hanson, S.T., Cruz, G.J., Tarman, T.D., Rollins, T., Debusschere, B.J., & Debusschere, B.J. (2022). Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics [Conference Presenation]. ACM International Conference Proceeding Series. https://doi.org/10.2172/2004219 Publication ID: 116112
  • Naugle, A.B., Swiler, L.P., Lakkaraju, K., Verzi, S.J., 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
  • Bachman, W.B., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics [Conference Paper]. https://www.osti.gov/biblio/2004284 Publication ID: 116352
  • Portone, T., Swiler, L.P., Geraci, G., Eldred, M., & Eldred, M. (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems [Conference Paper]. https://www.osti.gov/biblio/2004288 Publication ID: 116368
  • Thorpe, J., Swiler, L.P., Tarman, T.D., Hanson, S.T., Cruz, G.J., Debusschere, B.J., Rollins, T., & Rollins, T. (2022). Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics [Conference Paper]. https://www.osti.gov/biblio/2003842 Publication ID: 114652
  • Hart, J.L., Gulian, M., Manickam, I., Swiler, L.P., & Swiler, L.P. (2022). Facilitating Atmospheric Source Inversion via Operator Regression [Conference Presenation]. https://doi.org/10.2172/2003973 Publication ID: 115156
  • Peterson, K., Bull, D.L., Tezaur, I.K., Shand, L., Swiler, L.P., & Swiler, L.P. (2022). CLDERA: A Novel Foundational Approach for Attributing Climate Impacts [Conference Presenation]. https://doi.org/10.2172/2003488 Publication ID: 113276
  • Gulian, M., Hart, J.L., Manickam, I., Swiler, L.P., & Swiler, L.P. (2022). Facilitating Atmospheric Source Inversion via Deep Operator Network Surrogates [Conference Presenation]. https://doi.org/10.2172/2003586 Publication ID: 113660
  • Pinar, A., Tarman, T.D., Swiler, L.P., Gearhart, J.L., Hart, D., Vugrin, E., Arguello, B., Geraci, G., Debusschere, B.J., Hanson, S.T., Outkin, A.V., Thorpe, J., Hart, W.E., Sahakian, M., Gabert, K.G., Glatter, C., Johnson, E.S., Punla-Green, S., & Punla-Green, S. (2022). Uncertainty Quantification within SECURE LDRD [Presentation]. https://www.osti.gov/biblio/2003628 Publication ID: 113820
  • Bachman, W.B., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics [Conference Paper]. https://www.osti.gov/biblio/2003687 Publication ID: 114044
  • Bachman, W.B., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics [Conference Presenation]. https://doi.org/10.2172/2003735 Publication ID: 114232
  • Bachman, W.B., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics [Conference Paper]. https://doi.org/10.56952/ARMA-DFNE-22-0007 Publication ID: 114248
  • Naugle, A.B., Russell, A., Lakkaraju, K., Swiler, L.P., Verzi, S.J., 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.P., Portone, T., Mariner, P.E., Leone, R., Brooks, D.M., Seidl, D.T., Debusschere, B.J., Berg, T., & Berg, T. (2022). Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository [Conference Presenation]. https://doi.org/10.2172/2002228 Publication ID: 109876
  • Bachman, W.B., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics [Conference Paper]. https://doi.org/10.56952/ARMA-DFNE-22-0007 Publication ID: 109972
  • Swiler, L.P. (2022). Metamodelling sensitivity approaches versus regression and graphical methods on the basis of Geologic Cases: An International Collaboration [Conference Presenation]. https://doi.org/10.2172/2001987 Publication ID: 108948
  • Thorpe, J., Swiler, L.P., Hanson, S.T., Cruz, G.J., Tarman, T.D., Rollins, T., Debusschere, B.J., & Debusschere, B.J. (2022). WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics [Conference Paper]. https://www.osti.gov/biblio/2002055 Publication ID: 109200
  • Thorpe, J., Swiler, L.P., Hanson, S.T., Cruz, G.J., Tarman, T.D., Rollins, T., Debusschere, B.J., & Debusschere, B.J. (2022). WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics [Conference Presenation]. https://doi.org/10.2172/2002078 Publication ID: 109288
  • Mariner, P.E., Basurto, E., Brooks, D.M., Leone, R.C., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Advanced Use of Tracers in Repository Performance Assessment Modeling [Conference Paper]. https://www.osti.gov/biblio/2002123 Publication ID: 109468
  • Gulian, M., Frankel, A., Swiler, L.P., & Swiler, L.P. (2022). Gaussian process regression constrained by boundary value problems. Computer Methods in Applied Mechanics and Engineering, 388. https://doi.org/10.1016/j.cma.2021.114117 Publication ID: 75489
  • Portone, T., Eldred, M., Geraci, G., Swiler, L.P., & Swiler, L.P. (2022). Multimodel Methods for Uncertainty Quantification of Repository Systems [Conference Paper]. Proceedings of the International High-Level Radioactive Waste Management Conference, IHLRWM 2022, Embedded with the 2022 ANS Winter Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85181554658&origin=inward Publication ID: 114276
  • Debusschere, B.J., Seidl, D.T., Berg, T.M., Chang, K.W., Leone, R.C., Swiler, L.P., Mariner, P.E., & Mariner, P.E. (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository [Conference Paper]. Proceedings of the International High-Level Radioactive Waste Management Conference, IHLRWM 2022, Embedded with the 2022 ANS Winter Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85181567561&origin=inward Publication ID: 114300
  • Brooks, D.M., Swiler, L.P., Mariner, P.E., Portone, T., Basurto, E., Leone, R.C., & Leone, R.C. (2022). Sensitivity and Uncertainty Analysis of FMD Model Choice for a Generic Crystalline Repository [Conference Proceeding]. Proceedings of the International High-Level Radioactive Waste Management Conference, IHLRWM 2022, Embedded with the 2022 ANS Winter Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85181554518&origin=inward Publication ID: 116360
  • Debusschere, B.J., Seidl, D.T., Berg, T.M., Chang, K.W., Leone, R.C., Swiler, L.P., Mariner, P.E., & Mariner, P.E. (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository [Conference Paper]. Proceedings of the International High-Level Radioactive Waste Management Conference, IHLRWM 2022, Embedded with the 2022 ANS Winter Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85181567561&origin=inward Publication ID: 116388
  • Brooks, D.M., Swiler, L.P., Mariner, P.E., Portone, T., Basurto, E., Leone, R.C., & Leone, R.C. (2022). Sensitivity and Uncertainty Analysis of FMD Model Choice for a Generic Crystalline Repository [Conference Presenation]. Proceedings of the International High-Level Radioactive Waste Management Conference, IHLRWM 2022, Embedded with the 2022 ANS Winter Meeting. https://doi.org/10.2172/2005997 Publication ID: 120724
  • Bachman, W.B., Portone, T., Swiler, L.P., & Swiler, L.P. (2022). Effects of Discrete Fracture Network Modeling Choices on Repository Performance Characteristics [Conference Presenation]. Proceedings of the International High-Level Radioactive Waste Management Conference, IHLRWM 2022, Embedded with the 2022 ANS Winter Meeting. https://doi.org/10.2172/2006048 Publication ID: 120920
  • Swiler, L.P. (2021). Uncertainty Quantification (UQ) and Sensitivity Analysis (SA) in GDSA [Presentation]. https://www.osti.gov/biblio/1901835 Publication ID: 77036
  • Swiler, L.P. (2021). Verification and Validation for Cyber Emulation [Conference Presenation]. https://doi.org/10.2172/1897016 Publication ID: 76651
  • Adams, B.M., Bohnhoff, W.J., Dalbey, K.R., Ebeida, M.S., Eddy, J.P., Eldred, M.S., Hooper, R.W., Hough, P.D., Hu, K.T., Jakeman, J.D., Khalil, M., Maupin, K.A., Monschke, J.A., Ridgway, E.M., Rushdi, A.A., Seidl, D.T., Stephens, J.A., Swiler, L.P., Bachman, W.B., Winokur, J.G., & Winokur, J.G. (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.E., Berg, T.M., Debusschere, B.J., Eckert, A., Harvey, J.A., Laforce, T., Leone, R.C., Mills, M.M., Nole, M.A., Park, H.D., Perry, F.V., Seidl, D.T., Swiler, L.P., 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.P., Becker, D., Brooks, D.M., Govaerts, J., Koskinen, L., Plischke, E., Rohlig, K., Saveleva, E., Spiessl, S.M., 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.D., Swiler, L.P., Gearhart, J.L., Hart, D., Vugrin, E., Cruz, G.J., Arguello, B., Geraci, G., Debusschere, B.J., Hanson, S.T., Outkin, A.V., Thorpe, J., Hart, W.E., Sahakian, M., Gabert, K.G., Glatter, C., Johnson, E.S., Punla-Green, A.S., & Punla-Green, A.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.M., Swiler, L.P., Chowdhary, K., Hillman, B.R., & Hillman, B.R. (2021). The Fingerprints of Stratospheric Aerosol Injection in E3SM. https://doi.org/10.2172/1821542 Publication ID: 75727
  • Swiler, L.P., Brooks, D.M., & Brooks, D.M. (2021). Joint Sensitivity Analysis (JOSA) Exercise Meeting Sept. 21, 2021 [Presentation]. https://www.osti.gov/biblio/1888135 Publication ID: 75754
  • Pinar, A., Tarman, T.D., Swiler, L.P., Gearhart, J.L., Hart, D., Vugrin, E., Cruz, G.J., Arguello, B., Geraci, G., Debusschere, B.J., Hanson, S.T., Outkin, A.V., Thorpe, J., Hart, W.E., Sahakian, M., Gabert, K.G., Glatter, C., Johnson, E.S., 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.P. (2021). White paper on Verification and Validation for Cyber Emulation Models. https://doi.org/10.2172/1854720 Publication ID: 75981
  • Stickland, M., Li, J.D., Swiler, L.P., Tarman, T.D., & Tarman, T.D. (2021). Foundations of Rigorous Cyber Experimentation. https://doi.org/10.2172/1854751 Publication ID: 76007
  • Swiler, L.P., Basurto, E., Brooks, D.M., Eckert, A., Leone, R.C., Mariner, P.E., Portone, T., Bachman, W.B., 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.D., Swiler, L.P., Vugrin, E., Rollins, T., Cruz, G.J., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., Davis, K., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Presenation]. ACM International Conference Proceeding Series. https://doi.org/10.2172/1881645 Publication ID: 79697
  • Swiler, L.P., Brooks, D.M., Stein, E., Rohlig, K., Plischke, E., Becker, D., Spiessl, S.M., Koskinen, L., Govaerts, J., Svitelman, V., Elena, S., & Elena, S. (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.D., Swiler, L.P., Cruz, G.J., 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.P., Debusschere, B.J., & Debusschere, B.J. (2021). Multifidelity UQ sampling for Stochastic Simulations [Conference Presenation]. https://doi.org/10.2172/1889573 Publication ID: 79490
  • Kramer, S., Bolintineanu, D.S., Long, K., Hamel, C., Frankel, A., Jones, R.E., Bachman, W.B., Swiler, L.P., Johnson, K.L., & Johnson, K.L. (2021). Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories [Conference Presenation]. https://doi.org/10.2172/1867564 Publication ID: 78396
  • Tarman, T.D., Swiler, L.P., Cruz, G.J., 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 Paper]. https://doi.org/10.1145/3474718.3474725 Publication ID: 78420
  • Stickland, M., Li, J.D., Tarman, T.D., Swiler, L.P., & Swiler, L.P. (2021). Uncertainty quantification in cyber experimentation [Conference Paper]. https://www.osti.gov/biblio/1867999 Publication ID: 78424
  • Swiler, L.P. (2021). Sensitivity Analysis for the Latest Crystalline Reference Case [Presentation]. https://www.osti.gov/biblio/1868007 Publication ID: 78432
  • Swiler, L.P., Brooks, D.M., & Brooks, D.M. (2021). GP and PCE surrogate models for estimation of sensitivity indices [Presentation]. https://www.osti.gov/biblio/1868008 Publication ID: 78433
  • Swiler, L.P. (2021). Statistical Methods used in the Born Qualified LDRD Project [Presentation]. https://www.osti.gov/biblio/1863692 Publication ID: 78088
  • Porter, N.W., Maupin, K.A., Swiler, L.P., Mousseau, V.A., & Mousseau, V.A. (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.P. (2021). Epistemic Uncertainty: Computation and Usage [Conference Presenation]. https://doi.org/10.2172/1855744 Publication ID: 77617
  • Swiler, L.P. (2021). Epistemic Uncertainty: Computation and Usage [Conference Presenation]. https://doi.org/10.2172/1845192 Publication ID: 76636
  • Swiler, L.P., Gulian, M., Frankel, A., Safta, C., Jakeman, J.D., & Jakeman, J.D. (2021). Constrained Gaussian Processes: A Survey [Conference Presenation]. https://doi.org/10.2172/1847480 Publication ID: 77280
  • Portone, T., Swiler, L.P., 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.J., Geraci, G., Jakeman, J.D., Safta, C., Swiler, L.P., & Swiler, L.P. (2021). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments [Conference Presenation]. https://doi.org/10.2172/1847628 Publication ID: 77383
  • Portone, T., Niederhaus, J.H.J., Sanchez, J.J., Swiler, L.P., & Swiler, L.P. (2021). Bayesian model selection for metal yield models in high-velocity impact [Conference Poster]. 2019 15th Hypervelocity Impact Symposium, HVIS 2019. https://doi.org/10.1115/HVIS2019-012 Publication ID: 68012
  • Swiler, L.P. (2021). Uncertainty and Sensitivity Analysis Overview [Presentation]. https://www.osti.gov/biblio/1840824 Publication ID: 75026
  • Swiler, L.P., Newman, S., Staid, A., Barrett, E., & Barrett, E. (2021). Dakota-NAERM Integration. https://doi.org/10.2172/1762833 Publication ID: 75059
  • Swiler, L.P. (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.P., Debusschere, B.J., & Debusschere, B.J. (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.A., Swiler, L.P., & Swiler, L.P. (2020). Model Discrepancy Calibration and Propagation Across Experimental Settings [Conference Presenation]. https://doi.org/10.2172/1833158 Publication ID: 71936
  • Swiler, L.P., Gulian, M., Frankel, A., Safta, C., Jakeman, J.D., & Jakeman, J.D. (2020). A Survey of Constrained Gaussian Process: Approaches and Implementation Challenges. Journal of Machine Learning for Modeling and Computing, 1(2), pp. 119-156. https://doi.org/10.1615/jmachlearnmodelcomput.2020035155 Publication ID: 100688
  • Emery, B., Staid, A., Swiler, L.P., & Swiler, L.P. (2020). Sensitivity and Uncertainty Analysis of Generator Failures under Extreme Temperature Scenarios in Power Systems. https://doi.org/10.2172/1808746 Publication ID: 71307
  • Mariner, P.E., Nole, M.A., Basurto, E., Berg, T.M., Chang, K.W., Debusschere, B.J., Eckert, A., Ebeida, M., Gross, M., Hammond, G., Harvey, J.A., Jordan, S.H., Kuhlman, K.L., Laforce, T., Leone, R.C., McLendon, W., Mills, M.M., Park, H.D., Bachman, W.B., … Swiler, L.P. (2020). Advances in GDSA Framework Development and Process Model Integration. https://doi.org/10.2172/1671380 Publication ID: 100176
  • Swiler, L.P., Basurto, E., Brooks, D.M., Eckert, A., Mariner, P.E., Portone, T., Stein, E., & Stein, E. (2020). Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework. https://doi.org/10.2172/1671381 Publication ID: 100180
  • Swiler, L.P., Gulian, M., Frankel, A., Jakeman, J.D., Safta, C., & Safta, C. (2020). Incorporating physical constraints into Gaussian process surrogate models (LDRD Project Summary). https://doi.org/10.2172/1668928 Publication ID: 99852
  • Bachman, W.B., Swiler, L.P., Pinar, A., & Pinar, A. (2020). Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations. https://doi.org/10.2172/1673455 Publication ID: 100272
  • Bachman, W.B., Mitchell, J.A., Swiler, L.P., 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(C), pp. 80-92. https://doi.org/10.1016/j.actamat.2020.04.054 Publication ID: 73364
  • Gulian, M., Swiler, L.P., Frankel, A., Safta, C., Jakeman, J.D., & Jakeman, J.D. (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.D., Finley, M., Beyeler, W.E., Krofcheck, D.J., Frazier, C.R., Swiler, L.P., Portone, T., Bachman, W.B., Austin, P., Levin, D., Bachman, W.B., Tremba, K.D., Makvandi, M., Hammer, A.E., Davis, C.E., & Davis, C.E. (2020). COVID-19 Medical Resource Demands [Presentation]. https://www.osti.gov/biblio/1807655 Publication ID: 74013
  • Gulian, M., Swiler, L.P., Frankel, A., Jakeman, J.D., 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.P., Portone, T., & Portone, T. (2020). Uncertainty Analysis of a COVID-19 Medical Resource Model [Presentation]. https://www.osti.gov/biblio/1807392 Publication ID: 73743
  • Beyeler, W.E., Frazier, C.R., Krofcheck, D.J., Swiler, L.P., Portone, T., Klise, K.A., & Klise, K.A. (2020). Uncertainty Analysis Framework for the Hospital Resource Supply Model for Covid-19. https://doi.org/10.2172/1763544 Publication ID: 102996
  • Swiler, L.P., Portone, T., Beyeler, W.E., & Beyeler, W.E. (2020). Uncertainty analysis of Resource Demand Model for Covid-19. https://doi.org/10.2172/1630395 Publication ID: 73459
  • Beyeler, W.E., Frazier, C.R., Swiler, L.P., Portone, T., Krofcheck, D.J., & Krofcheck, D.J. (2020). Treatment Model Design and Use [Presentation]. https://www.osti.gov/biblio/1783073 Publication ID: 73474
  • Dalbey, K., Eldred, M., Geraci, G., Jakeman, J.D., Maupin, K.A., Monschke, J.A., Seidl, D.T., Swiler, L.P., Bachman, W.B., Menhorn, F., Zeng, X., & Zeng, X. (2020). Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.12 Theory Manual. https://doi.org/10.2172/1630693 Publication ID: 106072
  • Adams, B.M., Bohnhoff, W.J., Dalbey, K., Ebeida, M., Eddy, J.P., Eldred, M., Hooper, R., Hough, P.D., Hu, K., Jakeman, J.D., Khalil, M., Maupin, K.A., Monschke, J.A., Ridgway, E.M., Rushdi, A., Seidl, D.T., Stephens, J.A., Swiler, L.P., Winokur, J., & Winokur, J. (2020). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.12 User’s Manual. https://doi.org/10.2172/1630694 Publication ID: 106076
  • Maupin, K.A., Swiler, L.P., & Swiler, L.P. (2020). Calibration Propagation and Validation of Model Discrepancy Across Experimental Settings [Conference Poster]. https://www.osti.gov/biblio/1769563 Publication ID: 72925
  • Heckman, N.M., Ivanoff, T., Roach, A.M., Jared, B.H., Tung, D.J., Huber, T., Saiz, D.J., Koepke, J.R., Rodelas, J., Madison, J., Salzbrenner, B., Swiler, L.P., Jones, R.E., Boyce, B.L., & Boyce, B.L. (2020). Automated high-throughput tensile testing reveals stochastic process parameter sensitivity. Materials Science and Engineering: A, 772(C). https://doi.org/10.1016/j.msea.2019.138632 Publication ID: 66422
  • Frankel, A., Jones, R.E., Swiler, L.P., & Swiler, L.P. (2020). Tensor Basis Gaussian Process Models of Hyperelastic Materials. Journal of Machine Learning for Modeling and Computing (Online), 1(1), pp. 1-17. https://doi.org/10.1615/jmachlearnmodelcomput.2020033325 Publication ID: 99808
  • Pinar, A., Benz, Z.O., Castillo, A., Hart, W.E., Swiler, L.P., Tarman, T.D., & Tarman, T.D. (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.S., Long, K., Waymel, R., Quintana, E.C., Jones, R.E., Roberts, S.A., Newcomer, J.T., Stracuzzi, D.J., Swiler, L.P., & Swiler, L.P. (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.P., Geraci, G., Debusschere, B.J., 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.M., Govaerts, J., Koskinen, L., Kucherenko, S., Kupiainen, P., Mariner, P.E., Pastina, B., Plischke, E., Rohlig, K., Sevougian, S.D., Spiessl, S., Stein, E., Swiler, L.P., 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.E., Debusschere, B.J., Jerden, J., Seidl, D.T., Swiler, L.P., 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
  • Swiler, L.P., Helton, J.C., Basurto, E., Brooks, D.M., Mariner, P.E., Moore, L., Mohanty, S., Sevougian, S.D., 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.E., Connolly, L.A., Cunningham, L., Debusschere, B.J., Dobson, D.C., Frederick, J.M., Hammond, G.E., Jordan, S.H., Laforce, T., Nole, M.A., Park, H.D., Bachman, W.B., Rogers, R., Seidl, D.T., Sevougian, S.D., Stein, E., Swift, P., Swiler, L.P., 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
  • Tallman, A.E., Stopka, K.S., Swiler, L.P., 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.M., Pautz, S.D., Bruss, D.E., Franke, B., Blansett, E., Swiler, L.P., & Swiler, L.P. (2019). Adjoint-enabled Robust Radiation Shield Design [Conference Poster]. https://www.osti.gov/biblio/1641509 Publication ID: 70294
  • Naugle, A.B., Lakkaraju, K., Balanaga, V., Warrender, C., Verzi, S.J., Livesay, M., Swiler, L.P., & Swiler, L.P. (2019). A Complexity-Focused Framework for Comparing and Evaluating Social Simulations [Presentation]. https://www.osti.gov/biblio/1645756 Publication ID: 70428
  • Swiler, L.P. (2019). Gaussian Process Models [Conference Poster]. https://www.osti.gov/biblio/1641657 Publication ID: 70487
  • Naugle, A.B., Swiler, L.P., Lakkaraju, K., Verzi, S.J., 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.W., Brown-Shaklee, H.J., Swiler, L.P., Bishop, J.E., & Bishop, J.E. (2019). Image-Based Modeling of Ceramic Additive Manufacturing [Conference Poster]. https://www.osti.gov/biblio/1641323 Publication ID: 70037
  • Mitchell, J.A., Ivanoff, T., Dagel, D., Jared, B.H., Koepke, J.R., Saiz, D.J., Swiler, L.P., & Swiler, L.P. (2019). Linking pyrometry to porosity in additive manufactured metals [Conference Poster]. https://www.osti.gov/biblio/1641333 Publication ID: 70077
  • Mariner, P.E., Swiler, L.P., Seidl, D.T., 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
  • Geraci, G., Swiler, L.P., Crussell, J., Debusschere, B.J., & Debusschere, B.J. (2019). Exploration of multifidelity approaches for uncertainty quantification in network applications [Conference Poster]. https://doi.org/10.7712/120219.6352.18797 Publication ID: 69241
  • Portone, T., Niederhaus, J.H.J., Swiler, L.P., & Swiler, L.P. (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.E., Seidl, D.T., Swiler, L.P., Debusschere, B.J., Vo, J., Jerden, J., Frederick, J.M., & Frederick, J.M. (2019). Surrogate Modeling of Fuel Dissolution [Presentation]. https://www.osti.gov/biblio/1648825 Publication ID: 68682
  • Basurto, E., Brooks, D.M., Swiler, L.P., Mariner, P.E., & Mariner, P.E. (2019). Advances in Sensitivity Analysis for the Crystalline Reference Case [Presentation]. https://www.osti.gov/biblio/1648819 Publication ID: 68695
  • Swiler, L.P., Stickland, M., Tarman, T.D., & Tarman, T.D. (2019). Design of Experiments for Cyber Experimentation [Conference Poster]. https://www.osti.gov/biblio/1640123 Publication ID: 68704
  • Lakkaraju, K., Naugle, A.B., Verzi, S.J., Swiler, L.P., 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.A., Jared, B.H., Boyce, B.L., Lechman, J.B., Martinez, M., Forrest, E.C., Taylor, S., Dagel, A., Madison, J., Ivanoff, T., Koepke, J.R., Swiler, L.P., van Bloemen Waanders, B.G., Clark, B.W., Rodgers, T., Johnson, K.L., & Johnson, K.L. (2019). Overview of Sandia’s Born Qualified Project [Presentation]. https://www.osti.gov/biblio/1644903 Publication ID: 68107
  • Jared, B.H., Boyce, B.L., Madison, J., Rodelas, J., Saiz, D.J., Koepke, J.R., Huber, T., Ivanoff, T., Salzbrenner, B., Kernen, B.L., Moore, D., Swiler, L.P., & Swiler, L.P. (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
  • Mariner, P.E., Swiler, L.P., Seidl, D.T., Debusschere, B.J., Vo, J., Frederick, J.M., & Frederick, J.M. (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.P., Debusschere, B.J., 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.P., Crussell, J., Debusschere, B.J., & Debusschere, B.J. (2019). Exploration of multifidelity UQ strategies for network applications [Presentation]. https://www.osti.gov/biblio/1644472 Publication ID: 67348
  • Jared, B.H., Madison, J., Ivanoff, T., Swiler, L.P., Saiz, D.J., Dagel, D., Mitchell, J.A., 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., Dagel, D., Ivanoff, T., Jared, B.H., Koepke, J.R., Mitchell, J.A., Saiz, D.J., Swiler, L.P., & Swiler, L.P. (2019). Defect Signatures for Metal Laser Powder-Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1639421 Publication ID: 67500
  • Maupin, K.A., Swiler, L.P., & Swiler, L.P. (2019). Calibration Propagation and Validation of Model Discrepancy Across Experiments [Conference Poster]. https://www.osti.gov/biblio/1639186 Publication ID: 66235
  • Stein, E., Swiler, L.P., Sevougian, S.D., & Sevougian, S.D. (2019). METHODS OF SENSITIVITY ANALYSIS IN GEOLOGIC DISPOSAL SAFETY ASSESSMENT (GDSA) FRAMEWORK [Conference Poster]. https://www.osti.gov/biblio/1601750 Publication ID: 67047
  • Mariner, P.E., Swiler, L.P., Seidl, D.T., Debusschere, B.J., Vo, J., Frederick, J.M., & Frederick, J.M. (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
  • Mitchell, S.A., Knupp, P., Abdelkader, A., M Awad, M., Bajaj, C., Deakin, M., Ebeida, M., Engwirda, D., Mahmoud, A., Manocha, D., McKay, S.M., Owens, J., Park, C., Patney, A., Rushdi, A., Swiler, L.P., Wei, L., & Wei, L. (2019). Primal-Dual Mesh Optimization with Mathematical Foundations [Presentation]. https://www.osti.gov/biblio/1596226 Publication ID: 64491
  • Mitchell, S.A., Knupp, P., Abdelkader, A., M Awad, M., Bajaj, C., Deakin, M., Ebeida, M., Engwirda, D., Mahmoud, A., Manocha, D., McKay, S.M., Owens, J., Park, C., Patney, A., Rushdi, A., Swiler, L.P., Wei, L., & Wei, L. (2019). Primal-Dual Mesh Optimization with Mathematical Foundations [Presentation]. https://www.osti.gov/biblio/1596418 Publication ID: 64511
  • Geraci, G., Swiler, L.P., Crussell, J., Debusschere, B.J., & Debusschere, B.J. (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: 67693
  • Stein, E., Swiler, L.P., Sevougian, S.D., & Sevougian, S.D. (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: 68131
  • Stein, E., Swiler, L.P., Sevougian, S.D., & Sevougian, S.D. (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., Kramer, S., Swiler, L.P., 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.P., Sevougian, S.D., & Sevougian, S.D. (2018). Sensitivity Analysis of Dessel Dataset with SNL’s Dakota [Presentation]. https://www.osti.gov/biblio/1594648 Publication ID: 59328
  • Stein, E., Swiler, L.P., Sevougian, S.D., & Sevougian, S.D. (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.P., van Bloemen Waanders, B.G., Jared, B.H., Koepke, J.R., Whetten, S.R., Madison, J., Ivanoff, T., Bachman, W.B., Cook, A.W., Brown-Shaklee, H.J., Kammler, D., Johnson, K.L., Ford, K., Bishop, J.E., 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.E., Boyce, B.L., Brown, J.A., Burchard, R.L., Chandross, M., Cook, A.W., Diantonio, C., Dressler, A.D., Forrest, E.C., Ford, K., Ivanoff, T., Jared, B.H., Johnson, K.L., Kammler, D., … Trembacki, B.L. (2018). Born Qualified Grand Challenge LDRD Final Report. https://doi.org/10.2172/1481619 Publication ID: 59393
  • Mariner, P.E., Swiler, L.P., Frederick, J.M., & Frederick, J.M. (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., Koepke, J.R., Swaller, E., Jared, B.H., Mitchell, J.A., Swiler, L.P., & Swiler, L.P. (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.P., Sevougian, S.D., & Sevougian, S.D. (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.J., Allensworth, B.M., Backer, A., Chen, E.Y., Dingreville, R.P.M., Forrest, E.C., Knepper, R., Tappan, A.S., Marquez, M.P., Vasiliauskas, J.G., Rupper, S., Grant, M.J., Atencio, L.C., Hipple, T., Maes, D., Timlin, J.A., Ma, T.J., Garcia, R.J., Danford, F.L., … Swiler, L.P. (2018). Posters for AA/CE Reception [Presentation]. https://www.osti.gov/biblio/1592652 Publication ID: 59884
  • Stein, E., Swiler, L.P., Sevougian, S.D., & Sevougian, S.D. (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.P., & Swiler, L.P. (2018). Investigating Process Parameters in Laser-Powder Bed Fusion [Presentation]. https://www.osti.gov/biblio/1592080 Publication ID: 58935
  • Swiler, L.P., Adams, B.M., 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.J., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P.E., Nummi, O., Pastina, B., Sevougian, S.D., Spiessl, S., Swiler, L.P., 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.J., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P.E., Nummi, O., Pastina, B., Sevougian, S.D., Spiessl, S., Swiler, L.P., 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.D., Stein, E., Swiler, L.P., & Swiler, L.P. (2018). Higher-order SIs and Interactions based on PCE (using Dakota) [Presentation]. https://www.osti.gov/biblio/1594665 Publication ID: 59317
  • Maupin, K.A., Swiler, L.P., Porter, N.W., & Porter, N.W. (2018). 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
  • Swiler, L.P. (2018). Dakota within the NEAMS Workbench [Conference Poster]. https://www.osti.gov/biblio/1581719 Publication ID: 63600
  • Mitchell, S.A., Awad, M.A., Ebeida, M., Swiler, L.P., & Swiler, L.P. (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., Ivanoff, T., Mitchell, J.A., Schwaller, E., Koepke, J.R., Saiz, D.J., Dagel, D., Brown-Shaklee, H.J., Swiler, L.P., & Swiler, L.P. (2018). Defect Signatures for Metal Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1581712 Publication ID: 63670
  • Ivanoff, T., Madison, J., Koepke, J.R., Jared, B.H., Mitchell, J.A., Swiler, L.P., & Swiler, L.P. (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.L., Swiler, L.P., Rodgers, T., Jared, B.H., Subia, S.R., Ford, K., Stender, M., Bishop, J.E., & Bishop, J.E. (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., Koepke, J.R., Jared, B.H., Mitchell, J.A., Swiler, L.P., & Swiler, L.P. (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.P. (2018). Panel on Materials SAMSI Model Uncertainty: Mathematical and Statistical (MUMS) Workshop [Presentation]. https://www.osti.gov/biblio/1582191 Publication ID: 63754
  • Bao, J., Hou, Z., Ray, J., Huang, M., Swiler, L.P., Ren, H., & Ren, H. (2018). Soil moisture estimation using tomographic ground penetrating radar in a MCMC–Bayesian framework. Stochastic Environmental Research and Risk Assessment, 32(8), pp. 2213-2231. https://doi.org/10.1007/s00477-018-1571-8 Publication ID: 98328
  • Jared, B.H., Moore, D., Stair, S.L., Boyce, B.L., Madison, J., Ivanoff, T., Ostien, J.T., Johnson, K.L., Rodelas, J., Salzbrenner, B., Swiler, L.P., Bachman, W.B., Saiz, D.J., Kernen, B.L., Jost, E.W., Miers, J.C., & Miers, J.C. (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
  • Roach, R.A., Bishop, J.E., Johnson, K.L., Rodgers, T., Boyce, B.L., Swiler, L.P., van Bloemen Waanders, B.G., Chandross, M., Kammler, D., Balch, D., Jared, B.H., Martinez, M., Leathe, N.S., Ford, K., & Ford, K. (2018). Using additive manufacturing as a pathway to change the qualification paradigm [Conference Poster]. https://www.osti.gov/biblio/1532627 Publication ID: 62951
  • Naugle, A.B., Lakkaraju, K., Verzi, S.J., Swiler, L.P., Romero, V., Bernard, M., & Bernard, M. (2018). A Multi-tiered Complexity Metric [Conference Poster]. https://www.osti.gov/biblio/1570180 Publication ID: 63118
  • Mitchell, S.A., Ebeida, M., Awad, M.A., Park, C., Patney, A., Rushdi, A.A., Swiler, L.P., Manocha, D., Wei, L.Y., & Wei, L.Y. (2018). Spoke-darts for high-dimensional blue-noise sampling [Conference Poster]. ACM Transactions on Graphics. https://doi.org/10.1145/3194657 Publication ID: 63675
  • Ebeida, M., Swiler, L.P., Phipps, E.T., 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., Ivanoff, T., Jared, B.H., Swiler, L.P., Dejong, S.A., Boyce, B.L., 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.E., Jared, B.H., Keicher, D., Cook, A.W., Whetten, S.R., Forrest, E.C., Stanford, J., Boyce, B.L., Johnson, K.L., Rodgers, T., Ford, K., Martinez, M., Moser, D.R., van Bloemen Waanders, B.G., Chandross, M., Abdeljawad, F.F., Allen, K., Stender, M., … Wilson, M.A. (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.P., & Swiler, L.P. (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.A., Swiler, L.P., & Swiler, L.P. (2018). Calibration and Propagation of Model Discrepancy Across Experiments [Conference Poster]. https://www.osti.gov/biblio/1806944 Publication ID: 61561
  • Swiler, L.P., Adams, B.M., & Adams, B.M. (2018). Generating samples from extremely ill-conditioned covariance data [Conference Poster]. https://www.osti.gov/biblio/1508903 Publication ID: 61636
  • Swiler, L.P., Wang, Y., & Wang, Y. (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.P. (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.P., Mitchell, J.A., Madison, J., 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.P., Johnson, K.L., & Johnson, K.L. (2018). Uncertainty Quantification for Additive Manufacturing Applications [Conference Poster]. https://www.osti.gov/biblio/1502289 Publication ID: 61145
  • Portone, T., Niederhaus, J.H.J., Sanchez, J.J., Swiler, L.P., & Swiler, L.P. (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.W., Keicher, D., van Bloemen Waanders, B.G., Swiler, L.P., Seidl, D.T., Wildey, T., Whetten, S.R., & Whetten, S.R. (2018). Born Qualified EAB Telecon [Presentation]. https://www.osti.gov/biblio/1514821 Publication ID: 60282
  • Stein, E., Swiler, L.P., & Swiler, L.P. (2018). Dakota applied to GRS mc4096 dataset [Presentation]. https://www.osti.gov/biblio/1806476 Publication ID: 58734
  • Swiler, L.P. (2018). Materials Data and Models Across Scales [Presentation]. https://www.osti.gov/biblio/1806497 Publication ID: 58772
  • Swiler, L.P., 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.P., & Swiler, L.P. (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(C), 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.P., & Swiler, L.P. (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.P. (2017). Uncertainty Quantification and Data Science in Materials Applications [Conference Poster]. https://www.osti.gov/biblio/1484576 Publication ID: 54417
  • Swiler, L.P., Adams, B.M., 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.P., & Swiler, L.P. (2017). Dakota Overview [Conference Poster]. https://www.osti.gov/biblio/1479232 Publication ID: 53709
  • Jared, B.H., Boyce, B.L., Madison, J., Rodelas, J., Swiler, L.P., Ostien, J.T., Salzbrenner, B., Bachman, W.B., Saiz, D.J., & Saiz, D.J. (2017). The Challenges and Consequences of Material Uncertainties in Metal Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1480387 Publication ID: 53828
  • Boyce, B.L., Salzbrenner, B., Rodelas, J., Roach, A.M., Swiler, L.P., Madison, J., 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.L., Madison, J., Ostien, J.T., Rodelas, J., Salzbrenner, B., Swiler, L.P., Bachman, W.B., 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., Boyce, B.L., Jared, B.H., Rodelas, J., Salzbrenner, B., Swiler, L.P., Bachman, W.B., 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.P., Ray, J., 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.P., Johnson, K.L., & Johnson, K.L. (2017). Uncertainty Quantification for Additive Manufacturing Applications across scales [Conference Poster]. https://www.osti.gov/biblio/1460157 Publication ID: 57181
  • Maupin, K.A., Swiler, L.P., & Swiler, L.P. (2017). Model Discrepancy Calibration Across Experiments [Conference Poster]. https://www.osti.gov/biblio/1506918 Publication ID: 57332
  • Madison, J., Bachman, W.B., Swiler, L.P., Boyce, B.L., Jared, B.H., Rodelas, J., Salzbrenner, B., Webb, K., Jacques, C.L., Romero, J.A., Kernen, B.L., 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.P., Lefebvre, R.A., Langley, B.R., Thompson, A.B., & Thompson, A.B. (2017). Integration of Dakota into the NEAMS Workbench. https://doi.org/10.2172/1372616 Publication ID: 57450
  • Swiler, L.P., Stephens, J.A., & Stephens, J.A. (2017). UQ Theories Principles and Tools: Dakota Topics [Conference Poster]. https://www.osti.gov/biblio/1463778 Publication ID: 57683
  • Madison, J., Bachman, W.B., Swiler, L.P., Boyce, B.L., 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.L., Carroll, J.D., Rodelas, J., Shen, Y., Madison, J., Jared, B.H., Swiler, L.P., & Swiler, L.P. (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.A., Swiler, L.P., & Swiler, L.P. (2017). Validation Metrics [Conference Poster]. https://www.osti.gov/biblio/1476812 Publication ID: 56972
  • Keiter, E., Swiler, L.P., Wilcox, I.Z., & Wilcox, I.Z. (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.P. (2017). Uncertainty Quantification with thoughts on multiscale materials applications [Conference Poster]. https://www.osti.gov/biblio/1457979 Publication ID: 56274
  • Keiter, E., Swiler, L.P., Wilcox, I.Z., & Wilcox, I.Z. (2017). Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation [Conference Poster]. https://www.osti.gov/biblio/1367262 Publication ID: 56425
  • Hooper, R., Maupin, K.A., Swiler, L.P., Williams, B., Adams, B.M., & Adams, B.M. (2017). DAKOTA Update: Capabilities & Applications [Presentation]. https://www.osti.gov/biblio/1458046 Publication ID: 56549
  • Pautz, S.D., Franke, B., Swiler, L.P., Adams, B.M., 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.D., Adams, B.M., Swiler, L.P., 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., Swiler, L.P., Bachman, W.B., Boyce, B.L., 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
  • Boyce, B.L., Salzbrenner, B., Rodelas, J., Madison, J., Jared, B.H., Swiler, L.P., Shen, Y.L., & Shen, Y.L. (2017). High-throughput stochastic tensile performance of additively manufactured stainless steel. Journal of Materials Processing Technology, 241(C), pp. 1-12. https://doi.org/10.1016/j.jmatprotec.2016.10.023 Publication ID: 51834
  • Madison, J., Swiler, L.P., Bachman, W.B., Boyce, B.L., 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.D., Franke, B., Adams, B.M., Swiler, L.P., 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
  • Vugrin, E., Trucano, T.G., Swiler, L.P., Finley, P.D., Flanagan, T.P., Naugle, A.B., Tsao, J.Y., Verzi, S.J., & Verzi, S.J. (2017). Recommended Research Directions for Improving the Validation of Complex Systems Models. https://doi.org/10.2172/1367494 Publication ID: 54940
  • Maupin, K.A., Swiler, L.P., & Swiler, L.P. (2017). Model Discrepancy in Dakota [Conference Poster]. https://www.osti.gov/biblio/1425297 Publication ID: 55044
  • Adams, B.M., Pautz, S.D., Swiler, L.P., Franke, B., Blansett, E., Bruss, D.E., & Bruss, D.E. (2017). Adjoint-enabled Optimization and UQ for Radiation Shield Design [Conference Poster]. https://www.osti.gov/biblio/1424860 Publication ID: 55115
  • Maupin, K.A., Swiler, L.P., & Swiler, L.P. (2017). Validation Metrics for Deterministic and Probabilistic Data. https://doi.org/10.2172/1494178 Publication ID: 54811
  • Swiler, L.P., 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.P., 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.M., Coleman, K., Hooper, R., Khuwaileh, B.A., Lewis, A., Smith, R.C., Swiler, L.P., Turinsky, P.J., Williams, B.W., & Williams, B.W. (2016). User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota. https://doi.org/10.2172/1338015 Publication ID: 47788
  • Ebeida, M., Mitchell, S.A., Swiler, L.P., Romero, V., Rushdi, A.A., & Rushdi, A.A. (2016). POF-Darts: Geometric adaptive sampling for probability of failure. Reliability Engineering and System Safety, 155(C), pp. 64-77. https://doi.org/10.1016/j.ress.2016.05.001 Publication ID: 50777
  • Bachman, W.B., Madison, J., Finfrock, C.B., Swiler, L.P., Boyce, B.L., 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.P., Wilcox, I.Z., & Wilcox, I.Z. (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.P., Russo, T.V., Wilcox, I.Z., & Wilcox, I.Z. (2016). Sensitivity Analysis in Xyce. https://doi.org/10.2172/1562422 Publication ID: 52448
  • Keiter, E., Swiler, L.P., Wilcox, I.Z., & Wilcox, I.Z. (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.P., Wilcox, I.Z., & Wilcox, I.Z. (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.L., Madison, J., Ostien, J.T., Rodelas, J., Salzbrenner, B., Swiler, L.P., Bachman, W.B., & Bachman, W.B. (2016). Quantifying Material Performance & Defect Signatures in Laser Powder Bed Fusion [Conference Poster]. https://www.osti.gov/biblio/1422073 Publication ID: 51534
  • Madison, J., Finfrock, C.B., Swiler, L.P., Bachman, W.B., Boyce, B.L., 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.Y., Trucano, T.G., Kleban, S., Naugle, A.B., Verzi, S.J., Swiler, L.P., Johnson, C.M., Smith, M.A., Flanagan, T.P., Vugrin, E., Gabert, K.G., 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.P. (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.P., 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.P., Leung, L.R., & Leung, L.R. (2016). An Uncertainty Quantification Framework for Land Models [Conference Poster]. https://www.osti.gov/biblio/1364682 Publication ID: 50071
  • Swiler, L.P., Ray, J., & Ray, J. (2016). A Parallel MCMC Method [Conference Poster]. https://www.osti.gov/biblio/1364726 Publication ID: 50134
  • Swiler, L.P. (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.P., Ebeida, M., Mitchell, S.A., Glickman, M.R., & Glickman, M.R. (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.P., Mitchell, S.A., Jakeman, J.D., Phipps, E.T., 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.P., Mitchell, S.A., 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.P., 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.P., & Swiler, L.P. (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
  • Ray, J., Swiler, L.P., 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.P., & Swiler, L.P. (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.A., Ebeida, M., Romero, V., Swiler, L.P., Rushdi, A.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.P., 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.P., Adams, B.M., & Adams, B.M. (2015). Bayesian Calibration in Dakota [Presentation]. https://www.osti.gov/biblio/1514130 Publication ID: 45052
  • Adams, B.M., Hough, P.D., Swiler, L.P., & Swiler, L.P. (2015). Dakota Software Training: Model Calibration [Presentation]. https://www.osti.gov/biblio/1298884 Publication ID: 45058
  • Swiler, L.P., Eldred, M., Adams, B.M., & Adams, B.M. (2015). Uncertainty Quantification Methods in the Dakota Toolkit. https://www.osti.gov/biblio/1331537 Publication ID: 45288
  • Swiler, L.P., 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.P. (2015). VVUQ Best Practices in NEAMS [Conference Poster]. https://www.osti.gov/biblio/1257691 Publication ID: 43985
  • Swiler, L.P. (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.P., & Swiler, L.P. (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.P., & Swiler, L.P. (2015). Uncertainty Quantification Methods for Electrical Simulation [Presentation]. https://www.osti.gov/biblio/1248668 Publication ID: 42933
  • Swiler, L.P., Eldred, M., Shadid, J.N., & Shadid, J.N. (2015). Whitepaper prepared for DOE Workshop on Integrated Simulations for Magnetic Fusion Energy Sciences: Topic E: Beyond interpretive simulations. https://doi.org/10.2172/1178923 Publication ID: 97056
  • Thompson, A.P., Swiler, L.P., Trott, C.R., Foiles, S.M., Tucker, G.J., & Tucker, G.J. (2015). Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials. Journal of Computational Physics, 285(C), pp. 316-330. https://doi.org/10.1016/j.jcp.2014.12.018 Publication ID: 38482
  • Ray, J., Swiler, L.P., 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.P., 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.P., & Swiler, L.P. (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.M., Stephens, J.A., Swiler, L.P., & Swiler, L.P. (2015). Dakota Sensitivity Analysis and Uncertainty Quantification with Examples [Conference Poster]. https://www.osti.gov/biblio/1244466 Publication ID: 42678
  • Ivey, M.D., Robinson, D.G., Boslough, M., Backus, G.A., Peterson, K., van Bloemen Waanders, B.G., Swiler, L.P., Desilets, D.M., Reinert, R.K., & Reinert, R.K. (2015). Arctic Climate Systems Analysis. https://doi.org/10.2172/1177602 Publication ID: 42803
  • Hou, Z., Ray, J., Huang, M., Swiler, L.P., & Swiler, L.P. (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
  • Safta, C., Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B.J., Swiler, L.P., 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.P., & Swiler, L.P. (2014). Using runoff data to calibrate the Community Land Model [Conference Poster]. https://www.osti.gov/biblio/1319743 Publication ID: 39826
  • Eldred, M., Swiler, L.P., Adams, B.M., & Adams, B.M. (2014). Overview of Selected DOE/NNSA Predictive Science Initiatives: the Predictive Science Academic Alliance Program and the DAKOTA Project [Conference Poster]. https://doi.org/10.2514/6.2015-0500 Publication ID: 39970
  • Keiter, E., Swiler, L.P., & Swiler, L.P. (2014). Advanced Uncertainty Quantification Methods for Circuit Simulation: Interim Report, LDRD 2014-0788. https://doi.org/10.2172/1504105 Publication ID: 98748
  • Swiler, L.P. (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.A., Swiler, L.P., 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.P., 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.P., Schultz, P.A., Crozier, P., Moore, S.G., Swiler, L.P., Stephens, J.A., Trott, C.R., Foiles, S.M., Tucker, G.J., & Tucker, G.J. (2014). Automated Algorithms for Quantum-Level Accuracy in Atomistic Simulations: LDRD Final Report. https://doi.org/10.2172/1158668 Publication ID: 38622
  • Adams, B.M., Jakeman, J.D., Swiler, L.P., Stephens, J.A., Vigil, D., Wildey, T., Bauman, L.E., Bohnhoff, W.J., Dalbey, K., Eddy, J.P., Ebeida, M., Eldred, M., Hough, P.D., 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.M., Jakeman, J.D., Swiler, L.P., Stephens, J.A., Vigil, D., Wildey, T., Bauman, L.E., Bohnhoff, W.J., Dalbey, K., Eddy, J.P., Ebeida, M., Eldred, M., Hough, P.D., 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.P., Adams, S.S., & Adams, S.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.P., 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.P., & Swiler, L.P. (2014). Estimation of Structural Error in the Community Land Model Using Latent Heat Observations [Conference]. https://www.osti.gov/biblio/1141762 Publication ID: 40149
  • Ray, J., Swiler, L.P., & Swiler, L.P. (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.P., & Swiler, L.P. (2014). Bayesian calibration of the Community Land Model using surrogates. https://doi.org/10.2172/1204075 Publication ID: 37070
  • Foiles, S.M., Thompson, A.P., Swiler, L.P., 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.P., 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.P., 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.P. (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.J., Swiler, L.P., Eldred, M., & Eldred, M. (2014). Uncertainty quantification methods for model calibration validation, and risk analysis [Conference]. 16th AIAA Non-Deterministic Approaches Conference. https://doi.org/10.2514/6.2014-1497 Publication ID: 36802
  • Dalbey, K., Swiler, L.P., & Swiler, L.P. (2014). Gaussian process adaptive importance sampling [Conference]. International Journal for Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84926154240&origin=inward Publication ID: 40220
  • Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B.J., Swiler, L.P., 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.P., 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.P. (2013). Sensitivity Analyses using BISON [Conference]. https://www.osti.gov/biblio/1115040 Publication ID: 35795
  • Swiler, L.P. (2013). DAKOTA reliability methods applied to RAVEN/RELAP-7. https://doi.org/10.2172/1096510 Publication ID: 36014
  • Weirs, G., Orient, G., Swiler, L.P., 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.P. (2013). Sensitivity analysis of the fission gas behavior model in BISON. https://doi.org/10.2172/1089870 Publication ID: 33542
  • Weirs, G., Carnes, B., Hu, K., Orient, G., Romero, V., Swiler, L.P., & Swiler, L.P. (2013). Proposal for FY14 V&V Challenge Workshop [Conference]. https://www.osti.gov/biblio/1079791 Publication ID: 33646
  • Thompson, A.P., Trott, C.R., Swiler, L.P., Tucker, G.J., Foiles, S.M., 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.P., & Swiler, L.P. (2013). Gaussian Process Adaptive Importance Sampling. International Journal for Uncertainty Quantification. https://www.osti.gov/biblio/1080020 Publication ID: 33716
  • Romero, V., Swiler, L.P., 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.P., 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.M., Eldred, M., Swiler, L.P., & Swiler, L.P. (2013). Dakota: Advanced Exploration of Simulations [Presentation]. https://www.osti.gov/biblio/1660832 Publication ID: 33095
  • Swiler, L.P. (2013). Calibration of a Fuel Relocation Model in BISON [Conference]. https://www.osti.gov/biblio/1083827 Publication ID: 33317
  • Orient, G., Carnes, B., Romero, V., Swiler, L.P., Weirs, G., & Weirs, G. (2013). Proposal for FY14 V&V Challenge Workshop [Conference]. https://www.osti.gov/biblio/1115651 Publication ID: 33324
  • Groth, K.M., Swiler, L.P., & Swiler, L.P. (2013). Use of limited data to construct Bayesian networks for probabilistic risk assessment. https://doi.org/10.2172/1095131 Publication ID: 32505
  • Thompson, A.P., Schultz, P.A., Swiler, L.P., Trott, C.R., Tucker, G.J., Foiles, S.M., & Foiles, S.M. (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.P., 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.P. (2013). Calibration of a Fuel Relocation Model in BISON [Conference]. https://www.osti.gov/biblio/1116075 Publication ID: 31308
  • Swiler, L.P. (2013). Uncertainty Quantification: UQ Methods DAKOTA Nuclear Energy Applications [Conference]. https://www.osti.gov/biblio/1063324 Publication ID: 31403
  • Groth, K.M., Swiler, L.P., & Swiler, L.P. (2012). Use of a SPAR-H bayesian network for predicting human error probabilities with missing observations [Conference]. 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84873186773&origin=inward Publication ID: 26054
  • Weirs, V.G., Kamm, J., Swiler, L.P., Tarantola, S., Ratto, M., Adams, B.M., 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.P., 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.P., & Swiler, L.P. (2012). Progress on Calibration of 2-Degree Simulations from CAM5 [Presentation]. https://www.osti.gov/biblio/1648264 Publication ID: 30744
  • Dalbey, K., Swiler, L.P., & Swiler, L.P. (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.P., & Swiler, L.P. (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.P., & Swiler, L.P. (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.P., & Swiler, L.P. (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.P., & Swiler, L.P. (2012). Gaussian Process Adaptive Importance Sampling (GPAIS) [Conference]. https://www.osti.gov/biblio/1067635 Publication ID: 28336
  • Hu, K., Swiler, L.P., & Swiler, L.P. (2012). Bayesian Model Selection on Undetermined Nuclear Reactor Models [Conference]. https://www.osti.gov/biblio/1117292 Publication ID: 27806
  • Swiler, L.P., 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.P., 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.M., Swiler, L.P., Eldred, M., & Eldred, M. (2012). Practical UQ for Engineering Applications with DAKOTA [Conference]. https://www.osti.gov/biblio/1117563 Publication ID: 27403
  • Swiler, L.P. (2012). Evaluation of Mixed Continuous-Discrete Surrogate Approaches [Conference]. https://www.osti.gov/biblio/1078615 Publication ID: 27423
  • Gray, G.A., Hart, W.E., Hough, P.D., Parekh, O., Phillips, C.A., Siirola, J.D., Swiler, L.P., Watson, J., & Watson, J. (2012). Optimization of large-scale heterogeneous system-of-systems models. https://doi.org/10.2172/1034869 Publication ID: 26013
  • Urbina, A., Swiler, L.P., & Swiler, L.P. (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.P., 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.M., Bohnhoff, W.J., Dalbey, K., Eddy, J.P., Eldred, M., Hough, P.D., Lefantzi, S., Swiler, L.P., 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.P. (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.P., 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.P. (2011). Multiple Model Inference: Calibration Selection and Prediction with Multiple Models [Conference]. https://www.osti.gov/biblio/1109382 Publication ID: 24676
  • Swiler, L.P., Eldred, M., & Eldred, M. (2011). Reliability Methods: Determining small failure probabilities [Conference]. https://www.osti.gov/biblio/1106872 Publication ID: 24062
  • Swiler, L.P., 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.D., Swiler, L.P., & Swiler, L.P. (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches [Conference]. https://www.osti.gov/biblio/1108098 Publication ID: 22749
  • Romero, V., Swiler, L.P., 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.P., 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.D., Swiler, L.P., & Swiler, L.P. (2011). Mixed Variable Surrogate Models for Engineering Analysis [Conference]. https://www.osti.gov/biblio/1108818 Publication ID: 21987
  • Adams, B.M., Eldred, M., Swiler, L.P., & Swiler, L.P. (2011). Managing Complexity in Simulation-Based Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1120645 Publication ID: 22021
  • Swiler, L.P., 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.P., Hough, P.D., & Hough, P.D. (2011). Evaluation of Mixed Continuous-Discrete Surrogate Approaches [Conference]. https://www.osti.gov/biblio/1120662 Publication ID: 21692
  • Swiler, L.P. (2011). Uncertainty Quantification: Introduction [Conference]. https://www.osti.gov/biblio/1110595 Publication ID: 21227
  • Weirs, G., Swiler, L.P., Adams, B.M., 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, G., Kamm, J., Swiler, L.P., Adams, B.M., 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.M., Dalbey, K., Swiler, L.P., & Swiler, L.P. (2010). Surrogate modeling with surfpack [Conference]. https://www.osti.gov/biblio/1035640 Publication ID: 20899
  • Kamm, J., Weirs, G., Swiler, L.P., Adams, B.M., 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.P., Knupp, P., & Knupp, P. (2010). Predictive Capability Maturity Model (PCMM) [Conference]. https://www.osti.gov/biblio/1028336 Publication ID: 20524
  • Weirs, G., Kamm, J., Swiler, L.P., Adams, B.M., 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, G., Swiler, L.P., Adams, B.M., 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.P., Urbina, A., & Urbina, A. (2010). Multiple model inference [Conference]. https://www.osti.gov/biblio/1021608 Publication ID: 19278
  • Proctor, W., Swiler, L.P., Eldred, M., & Eldred, M. (2010). Global sensitivity analysis [Conference]. https://www.osti.gov/biblio/1020435 Publication ID: 18552
  • Adams, B.M., Dalbey, K., Eldred, M., Gay, D.M., Swiler, L.P., Bohnhoff, W.J., Eddy, J.P., Haskell, K., Hough, P.D., & Hough, P.D. (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.M., Dalbey, K., Eldred, M., Gay, D.M., Swiler, L.P., Bohnhoff, W.J., Eddy, J.P., Haskell, K., Hough, P.D., & Hough, P.D. (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.M., Dalbey, K., Eldred, M., Gay, D.M., Swiler, L.P., Bohnhoff, W.J., Eddy, J.P., Haskell, K., Hough, P.D., & Hough, P.D. (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.P. (2010). Uncertainty Quantification R&D with Applications to Nuclear Weapons [Presentation]. https://www.osti.gov/biblio/1681096 Publication ID: 18343
  • Swiler, L.P. (2010). Importance sampling : promises and limitations [Conference]. https://www.osti.gov/biblio/992774 Publication ID: 17831
  • Swiler, L.P. (2010). Importance sampling : promises and limitations [Conference]. https://www.osti.gov/biblio/992772 Publication ID: 17835
  • Swiler, L.P., Eldred, M., Adams, B.M., & Adams, B.M. (2010). Uncertainty Quantification: Lecture for TEDS CLASS ESP700 [Presentation]. https://www.osti.gov/biblio/1694488 Publication ID: 17563
  • Eldred, M., Swiler, L.P., & Swiler, L.P. (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
  • Paez, T.L., Swiler, L.P., & Swiler, L.P. (2009). Probabilistic methods in model validation [Conference]. Conference Proceedings of the Society for Experimental Mechanics Series. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861561278&origin=inward Publication ID: 15178
  • Eldred, M., Swiler, L.P., & Swiler, L.P. (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.M., Swiler, L.P., Eldred, M., Gay, D.M., & Gay, D.M. (2009). DAKOTA Training 2008: Optimization and Calibration [Presentation]. https://www.osti.gov/biblio/1696903 Publication ID: 15683
  • Swiler, L.P., Paez, T.L., Mayes, R.L., & Mayes, R.L. (2008). Epistemic uncertainty quantification tutorial [Conference]. https://www.osti.gov/biblio/950891 Publication ID: 14991
  • Swiler, L.P., Adams, B.M., Eldred, M., & Eldred, M. (2008). Model calibration under uncertainty: Matching distribution information [Conference]. 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, MAO. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78049489285&origin=inward Publication ID: 14753
  • Swiler, L.P., Vugrin, K.E.W., & Vugrin, K.E.W. (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., Martin, S., Swiler, L.P., 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.E.W., Roberts, R.M., Swiler, L.P., & Swiler, L.P. (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.P., & Swiler, L.P. (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.P., Giunta, A.A., & Giunta, A.A. (2007). Aleatory and epistemic uncertainty quantification for engineering applications [Conference]. https://www.osti.gov/biblio/908070 Publication ID: 9678
  • Swiler, L.P., Giunta, A.A., & Giunta, A.A. (2007). Aleatory and Epistemic Uncertainty Quantification for Engineering Applications [Conference]. https://www.osti.gov/biblio/1147526 Publication ID: 10698
  • Swiler, L.P., Fan, W.C., Turner, C.D., 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
  • Swiler, L.P. (2006). Gaussian processes in response surface modeling [Conference]. Conference Proceedings of the Society for Experimental Mechanics Series. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861553971&origin=inward Publication ID: 6624
  • Swiler, L.P., Hough, P.D., Gray, G.A., Chiesa, M.L., Heaphy, R.T., Thomas, S.W., Trucano, T.G., & Trucano, T.G. (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.L., Griffin, J.D., Hough, P.D., Kolda, T.G., Martinez-Canales, M., Williams, P.J., Adams, B.M., Dunlavy, D.M., Gay, D.M., Swiler, L.P., Giunta, A.A., Hart, W.E., Watson, J., Eddy, J.P., & Eddy, J.P. (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.L., Griffin, J.D., Hough, P.D., Kolda, T.G., Martinez-Canales, M., Williams, P.J., Adams, B.M., Dunlavy, D.M., Gay, D.M., Swiler, L.P., Giunta, A.A., Hart, W.E., Watson, J., Eddy, J.P., & Eddy, J.P. (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.P., Giunta, A.A., Hart, W.E., Watson, J., Eddy, J.P., Griffin, J.D., Hough, P.D., Kolda, T.G., Martinez-Canales, M., Williams, P.J., Eldred, M., Brown, S.L., Adams, B.M., Dunlavy, D.M., Gay, D.M., & Gay, D.M. (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.P., Giunta, A.A., Eldred, M., Adams, B.M., 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.A., Swiler, L.P., Brown, S.L., 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.P., Trucano, T.G., Oberkampf, W.L., Dowding, K.J., Giunta, A.A., 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.P., Giunta, A.A., & Giunta, A.A. (2006). Bayesian Calibration of the QASPR Model [Conference]. https://www.osti.gov/biblio/1264037 Publication ID: 7746
  • Bichon, B.J., Eldred, M., Swiler, L.P., 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.P., Brown, S.L., 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.P. (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.A., Eldred, M., Swiler, L.P., & Swiler, L.P. (2006). The DAKOTA Toolkit and its use in Computational Experiments [Conference]. https://www.osti.gov/biblio/1264111 Publication ID: 7655
  • Swiler, L.P. (2006). 1411 Department Review 2006 [Presentation]. https://www.osti.gov/biblio/1729806 Publication ID: 7300
  • Swiler, L.P. (2006). Bayesian methods in engineering design problems. https://doi.org/10.2172/883142 Publication ID: 5314
  • Swiler, L.P. (2006). Verification of LHS distributions. https://doi.org/10.2172/882044 Publication ID: 6952
  • Swiler, L.P., Hough, P.D., & Hough, P.D. (2006). Gaussian processes in trust-region optimization methods [Conference]. https://www.osti.gov/biblio/900383 Publication ID: 6735
  • Giunta, A.A., Swiler, L.P., Brown, S.L., 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.A., Eldred, M., Swiler, L.P., Trucano, T.G., & Trucano, T.G. (2005). Perspectives on optimization under uncertainty: Algorithms and applications [Conference]. https://www.osti.gov/biblio/947287 Publication ID: 4431
  • Romero, V., Swiler, L.P., & Swiler, L.P. (2005). Error Estimation Approaches for Progressive Response Surfaces- More Results [Conference]. https://www.osti.gov/biblio/1465858 Publication ID: 6405
  • Rutherford, B., Swiler, L.P., Paez, T.L., Urbina, A., & Urbina, A. (2005). Response surface (Meta-model) methods and applications [Conference]. https://www.osti.gov/biblio/882055 Publication ID: 6464
  • Swiler, L.P. (2005). Validation of the thermal challenge problem using Bayesian Belief Networks. https://doi.org/10.2172/875636 Publication ID: 6062
  • Swiler, L.P. (2005). Gaussian processes in response surface modeling [Conference]. https://www.osti.gov/biblio/878571 Publication ID: 6165
  • Vugrin, K.E.W., Swiler, L.P., Roberts, R.M., & Roberts, R.M. (2005). Confidence region estimation techniques for nonlinear regression :three case studies. https://doi.org/10.2172/877714 Publication ID: 6166
  • McFarland, J., Giunta, A.A., Swiler, L.P., & Swiler, L.P. (2005). Advanced uncertainty quantification methods for engineering applications [Conference]. https://www.osti.gov/biblio/969552 Publication ID: 5920
  • Giunta, A.A., Swiler, L.P., 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.P., Trucano, T.G., & Trucano, T.G. (2005). Calibration Under Uncertainty. https://doi.org/10.2172/1143309 Publication ID: 4693
  • Swiler, L.P. (2005). Bayesian methods in CS&E models [Conference]. https://www.osti.gov/biblio/948229 Publication ID: 4384
  • Giunta, A.A., Swiler, L.P., Eldred, M., Hart, W.E., Phillips, C.A., 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.P., 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.P., & Swiler, L.P. (2004). Progressive response surfaces [Conference]. https://www.osti.gov/biblio/959302 Publication ID: 3396
  • Swiler, L.P., Campbell, J.E., Lowder, K.S., Doser, A., & Doser, A. (2003). Algorithm development for Prognostics and Health Management (PHM). https://doi.org/10.2172/918353 Publication ID: 2711
  • Swiler, L.P., Swiler, L.P., & Swiler, L.P. (2003). Prognostics for accessory drive gearboxes on fixed-wing aircraft [Conference]. https://www.osti.gov/biblio/915167 Publication ID: 1772
  • Romero, V., Swiler, L.P., Giunta, A.A., & Giunta, A.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
  • Swiler, L.P. (1998). A graph-based system for network-vulnerability analysis [Conference]. https://doi.org/10.2172/573291 Publication ID: 95940
  • Swiler, L.P. (1998). A graph-based network-vulnerability analysis system [Conference]. https://doi.org/10.2172/573291 Publication ID: 94868
Showing 10 of 382 publications.