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Publication	Type	Year
Gaussian Process Regression constrained by Boundary Value Problems Computer Methods in Applied Mechanics and Engineering Mamikon Gulian, Ari Louis Frankel, Laura Painton Swiler https://www.osti.gov/search/identifier:1831157	Journal Article – 2021 Journal Article	2021
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference 2021 - Virtual Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Craig Hamel, Ari Louis Frankel, Reese E. Jones, Scott A Roberts, Laura Painton Swiler, Kyle Johnson https://www.osti.gov/search/identifier:1867564	Conference Presentation – 2021 Conference Presentation	2021
Constrained Gaussian Processes: A Survey SIAM Computational Science and Engineering Conference 2021 Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1847480	Conference Presentation – 2021 Conference Presentation	2021
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Craig Hamel, Ari Louis Frankel, Reese E. Jones, Scott Alan Roberts, Laura Painton Swiler, Kyle Johnson	Abstract – 2020 Abstract	2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Journal of Machine Learning for Modeling and Computing Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1691455	Journal Article – 2020 Journal Article	2020
LDRD Project Summary: Incorporating physical constraints into Gaussian process surrogate models Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, John Davis Jakeman, Cosmin Safta https://www.osti.gov/search/identifier:1668928	SAND Report – 2020 SAND Report	2020
Constrained Gaussian Processes: A Survey SIAM Computational Science and Engineering 2021 Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman	Abstract – 2020 Abstract	2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges PhILMs Webinar Mamikon Gulian, Laura Painton Swiler, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1814448	Conference Paper – 2020 Conference Paper	2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Sandia Machine Learning and Deep Learning Workshop Skip to end of banner Mamikon Gulian, Laura Painton Swiler, Ari Louis Frankel, John Davis Jakeman, Cosmin Safta https://www.osti.gov/search/identifier:1812282	Conference Paper – 2020 Conference Paper	2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges Machine Learning and Deep Learning Conference (Sandia Audience) Mamikon Gulian, Laura Painton Swiler, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman	Abstract – 2020 Abstract	2020
A Survey of Constrained Gaussian Process: Approaches and Implementation Challenges Journal of Machine Learning for Modeling and Computing Laura Painton Swiler, Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman https://www.osti.gov/search/identifier:1725870	Journal Article – 2020 Journal Article	2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials Journal of Machine Learning for Modeling and Computing Ari Louis Frankel, Reese E. Jones, Laura Painton Swiler https://www.osti.gov/search/identifier:1668364	Journal Article – 2020 Journal Article	2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials arXiv Ari Louis Frankel, Laura Painton Swiler, Reese E. Jones https://www.osti.gov/search/identifier:1670720	Journal Article – 2019 Journal Article	2019
Comparison of Field Measurements and Large Eddy Simulations of the Scaled Wind Farm Technology (SWiFT) Site Asme Ajk Fluids 2019 Myra L. Blaylock, Brent C Houchens, Ari Louis Frankel, David Charles Maniaci, Thomas Herges, Gianluca Geraci, Michael S. Eldred, Robert C. Knaus, Philip Sakievich https://www.osti.gov/search/identifier:1640113	Conference Paper – 2019 Conference Paper	2019
Multilevel Uncertainty Quantification Using CFD and OpenFAST Simulations of the SWiFT Facility AIAA 2019 SciTech Forum Myra L. Blaylock, Ari Louis Frankel, David Charles Maniaci, Thomas Herges, Gianluca Geraci, Michael S. Eldred	Abstract – 2018 Abstract	2018
Multilevel Uncertainty Quantification of a Wind Turbine Large Eddy Simulation Model Eccm-ecfd 2018 David Charles Maniaci, Ari Louis Frankel, Gianluca Geraci, Myra L. Blaylock, Michael S. Eldred https://www.osti.gov/search/identifier:1526815	Conference Paper – 2018 Conference Paper	2018
Multi-level Uncertainty Quantification of a Wind Turbine Large Eddy Simulation Model 7th European Conference on Computational Fluid Dynamics David Charles Maniaci, Ari Louis Frankel, Gianluca Geraci, Myra L. Blaylock, Michael S. Eldred https://www.osti.gov/search/identifier:1525640	Conference Paper – 2018 Conference Paper	2018
Multi-level Uncertainty Quantification of a Wind Turbine Large Eddy Simulation Model 7th European Conference on Computational Fluid Dynamics David Charles Maniaci, Ari Louis Frankel, Gianluca Geraci, Myra L. Blaylock, Michael S. Eldred	Abstract – 2018 Abstract	2018
Document Title	Type	Year