Publications

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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
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