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Publication	Type	Year
Near-Wall Turbulence Modeling using Neural Networks Sandia Machine Learning and Deep Learning Workshop Matthew F. Barone, Nathan Miller, Warren Leon Davis, Jeffrey A. Fike https://www.osti.gov/search/identifier:1641518	Conference Paper – 2019 Conference Paper	2019
Machine-Learned Models for Near-Wall Turbulence DOE ASC V&V Lead Visit to Sandia Matthew F. Barone, Nathan Miller, Warren Leon Davis, Jeffrey A. Fike https://www.osti.gov/search/identifier:1645355	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Near-Wall Modeling using Coordinate Frame Invariant Representations and Neural Networks AIAA Aviation Forum Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike https://www.osti.gov/search/identifier:1640064	Conference Paper – 2019 Conference Paper	2019
Coordinate-Invariant Near-Wall Turbulence Modeling via Neural Networks Machine Learning for Computational Fluid and Solid Dynamics Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike https://www.osti.gov/search/identifier:1601537	Conference Paper – 2019 Conference Paper	2019
Coordinate-Invariant Near-Wall Turbulence Modeling via Neural Networks Machine Learning for Computational Fluid and Solid Dynamics Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike	Abstract – 2019 Abstract	2019
Wall Shear Stress Prediction using Coordinate Frame Invariant Representations and Neural Networks AIAA Aviation and Aeronautics Forum and Exposition Nathan Miller, Matthew F. Barone, Warren Leon Davis, Jeffrey A. Fike	Abstract – 2018 Abstract	2018
Machine Learning Models of Errors in LES Predictions of Surface Pressure Fluctuations AIAA Aviation 2017 Matthew F. Barone, Jeffrey A. Fike, Kamaljit Singh Chowdhary, Warren Leon Davis, Julia Ling, Shawn Martin https://www.osti.gov/search/identifier:1458163	Conference Paper – 2017 Conference Paper	2017
Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations AIAA Aviation Conference Matthew F. Barone, Jeffrey A. Fike, Kamaljit Singh Chowdhary, Warren Leon Davis, Julia Ling, Shawn Martin https://www.osti.gov/search/identifier:1367203	Conference Paper – 2017 Conference Paper	2017
Convolutional Neural Networks for Frequency Response Predictions ASME V&V Conference Andrew Wilson, Daniel Wade, Julia Ling, Kamaljit Singh Chowdhary, Warren Leon Davis, Matthew F. Barone, Matthew F. Barone, Jeffrey A. Fike https://www.osti.gov/search/identifier:1457870	Conference Paper – 2017 Conference Paper	2017
Investigating Turbulent Wall Pressure Fluctuations using Machine Learning Techniques Visit to MIT Matthew F. Barone, Julia Ling, Warren Leon Davis, Kamaljit Singh Chowdhary, Jeffrey A. Fike https://www.osti.gov/search/identifier:1456663	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Approaches for building stable projection-based reduced order models for compressible flow Virginia Tech Seminar Irina Kalashnikova Tezaur, Matthew F. Barone, Jeffrey A. Fike, Maciej (UIUC) Balajewicz, Srinivasan Arunajatesan, Bart G van Bloemen Waanders, Earl (Duke) Dowell https://www.osti.gov/search/identifier:1456589	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Convolutional Neural Networks for Frequency Response Predictions ASME V&V Andrew Wilson, Daniel Wade, Julia Ling, Kamaljit Singh Chowdhary, Warren Leon Davis, Matthew F. Barone, Jeffrey A. Fike	Abstract – 2017 Abstract	2017
Development of Machine Learning Models for Turbulent Wall Pressure Fluctuations AIAA SciTech Julia Ling, Matthew F. Barone, Warren Leon Davis, Kamaljit Singh Chowdhary, Jeffrey A. Fike https://www.osti.gov/search/identifier:1416699	Conference Paper – 2017 Conference Paper	2017
Aeras: A Performance Portable, High-Resolution Global Atmosphere Model American Geophysical Union William Spotz, Irina Kalashnikova Tezaur, Peter Andrew Bosler, Jeffrey A. Fike, Oksana Guba, Thomas M. Smith, Jerry Watkins, Irina Demeshko https://www.osti.gov/search/identifier:1413413	Conference Paper – 2016 Conference Paper	2016
Development of Machine Learning Models for Turbulent Wall Pressure Fluctuations AIAA SciTech Julia Ling, Matthew F. Barone, Warren Leon Davis, Kamaljit Singh Chowdhary, Jeffrey A. Fike https://www.osti.gov/search/identifier:1422115	Conference Paper – 2016 Conference Paper	2016
The Aeras Next Generation Global Atmosphere Model Peter Andrew Bosler, Steven W. Bova, Irina P. Demeshko, Jeffrey A. Fike, Oksana Guba, James R. Overfelt, Erika Louise Roesler, Andrew G. Salinger, Thomas M. Smith, Irina Kalashnikova Tezaur, Jerry Watkins https://www.osti.gov/search/identifier:1562816	SAND Report – 2016 SAND Report	2016
Uncertainty Quantification for the Global Atmosphere Using Concurrent Samples SIAM Conference on Uncertainty Quantification William Spotz, Jeffrey A. Fike, Irina Kalashnikova Tezaur, Andrew G. Salinger, Eric T. Phipps https://www.osti.gov/search/identifier:1366603	Conference Paper – 2016 Conference Paper	2016
Uncertainty Quantification and Verification an Validation for Climate Modeling Advancing X-cutting Ideas for Computational Climate Science William Spotz, Timothy G. Trucano, Jeffrey A. Fike https://www.osti.gov/search/identifier:1341367	Conference Paper – 2016 Conference Paper	2016
Uncertainty Quantification For A Next-Generation Global Atmosphere Model Workshop on Uncertainty Quantification in Climate Modeling and Projection William Spotz, William Spotz, Jeffrey A. Fike, Jeffrey A. Fike, Irina Kalashnikova Tezaur, Irina Kalashnikova Tezaur, Andrew G. Salinger, Andrew G. Salinger, Steven W. Bova, Steven W. Bova, James R. Overfelt, James R. Overfelt, Mark Alan Taylor, Mark Alan Taylor, Eric T. Phipps, Eric T. Phipps https://www.osti.gov/search/identifier:1260928	Conference Paper – 2015 Conference Paper	2015
Stabilization of Projection-Based Reduced Order Models via Optimization-Based Eigenvalue Reassignment 1st Pan American Congress on Computational Mechanics (PANACM) 2015 Irina Kalashnikova Tezaur, Bart G van Bloemen Waanders, Srinivasan Arunajatesan, Matthew F. Barone, Jeffrey A. Fike https://www.osti.gov/search/identifier:1248705	Conference Paper – 2015 Conference Paper	2015
Aeras: A Next Generation Atmosphere Model International Conference on Computational Science William Spotz, Irina Demeshko, Thomas M. Smith, Jeffrey A. Fike https://www.osti.gov/search/identifier:1248670	Conference Paper – 2015 Conference Paper	2015
Stabilization of Projection-Based Reduced Order Models via Optimization-Based Eigenvalue Reassignment 1st Pan American Congress on Computational Mechanics (PANACM) 2015 Irina Kalashnikova Tezaur, Bart G van Bloemen Waanders, Srinivasan Arunajatesan, Matthew F. Barone, Jeffrey A. Fike	Abstract – 2014 Abstract	2014
Energy-Stable Galerkin Reduced Order Models for Nonlinear Compressible Flow World Congress on Computational Mechanics (WCCM) XI Irina Kalashnikova Tezaur, Matthew F. Barone, Jeffrey A. Fike, Srinivasan Arunajatesan, Bart G van Bloemen Waanders https://www.osti.gov/search/identifier:1496555	Presentation (non-conference) – 2014 Presentation (non-conference)	2014
Reduced Order Modeling for Prediction and Control of Large-Scale Systems Irina Kalashnikova Tezaur, Srinivasan Arunajatesan, Matthew F. Barone, Bart G van Bloemen Waanders, Jeffrey A. Fike https://www.osti.gov/search/identifier:1177206	SAND Report – 2014 SAND Report	2014
Document Title	Type	Year

Publications

Near-Wall Turbulence Modeling using Neural Networks

Machine-Learned Models for Near-Wall Turbulence

Near-Wall Modeling using Coordinate Frame Invariant Representations and Neural Networks

Coordinate-Invariant Near-Wall Turbulence Modeling via Neural Networks

Coordinate-Invariant Near-Wall Turbulence Modeling via Neural Networks

Wall Shear Stress Prediction using Coordinate Frame Invariant Representations and Neural Networks

Machine Learning Models of Errors in LES Predictions of Surface Pressure Fluctuations

Machine Learning Models of Errors in Large Eddy Simulation Predictions of Surface Pressure Fluctuations

Convolutional Neural Networks for Frequency Response Predictions

Investigating Turbulent Wall Pressure Fluctuations using Machine Learning Techniques

Approaches for building stable projection-based reduced order models for compressible flow

Convolutional Neural Networks for Frequency Response Predictions

Development of Machine Learning Models for Turbulent Wall Pressure Fluctuations

Aeras: A Performance Portable, High-Resolution Global Atmosphere Model

Development of Machine Learning Models for Turbulent Wall Pressure Fluctuations

The Aeras Next Generation Global Atmosphere Model

Uncertainty Quantification for the Global Atmosphere Using Concurrent Samples

Uncertainty Quantification and Verification an Validation for Climate Modeling

Uncertainty Quantification For A Next-Generation Global Atmosphere Model

Stabilization of Projection-Based Reduced Order Models via Optimization-Based Eigenvalue Reassignment

Aeras: A Next Generation Atmosphere Model

Stabilization of Projection-Based Reduced Order Models via Optimization-Based Eigenvalue Reassignment

Energy-Stable Galerkin Reduced Order Models for Nonlinear Compressible Flow

Reduced Order Modeling for Prediction and Control of Large-Scale Systems