Publications

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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

Deploy production sliding mesh capability with linear solver benchmarking

Stefan P. Domino, Matthew F. Barone, Alan B. Williams, Robert C. Knaus, James R. Overfelt

https://www.osti.gov/search/identifier:1527310

Report – 2017 Report 2017

Turbulent Flow UQ Using Machine Learning Techniques

2017 Sandia Machine Learning & Deep Learning Conference

Warren Leon Davis, Matthew F. Barone

https://www.osti.gov/search/identifier:1464899

Conference Paper – 2017 Conference Paper 2017

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

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

Development of Machine Learning Models for Turbulent Wall Pressure Fluctuations

AIAA SciTech 2017

Matthew F. Barone, Julia Ling, Warren Leon Davis

https://www.osti.gov/search/identifier:1368710

Conference Paper – 2016 Conference Paper 2016

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

Multifidelity Uncertainty Quantification Using Spectral Stochastic Discrepancy Models

Handbook of Uncertainty Quantification

Michael S. Eldred, Leo W.T. Ng, Matthew F. Barone, Stefan P. Domino

https://www.osti.gov/search/identifier:1191876

Book – 2015 Book 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

Multi-Fidelity Uncertainty Quantification: Application to a Vertical Axis Wind Turbine Under an Extreme Gust

AIAA Aviation 2014

Matthew F. Barone, Michael S. Eldred, A. Santiago Padron, Juan J. Alonso, F. Palacios

https://www.osti.gov/search/identifier:1315382

Conference Paper – 2014 Conference Paper 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

Stabilized Projection-Based Reduced Order Models for Uncertainty Quantification

SIAM Conference on Uncertainty Quantification (UQ14)

Irina Kalashnikova Tezaur, Bart G van Bloemen Waanders, Srinivasan Arunajatesan, Matthew F. Barone

https://www.osti.gov/search/identifier:1315692

Conference Paper – 2014 Conference Paper 2014

Stabilization of Projection-Based Reduced Order Models via Eigenvalue Reassignment

Computer Methods in Applied Mechanics and Engineering

Irina Kalashnikova Tezaur, Bart G van Bloemen Waanders, Srinivasan Arunajatesan, Matthew F. Barone

https://www.osti.gov/search/identifier:1095826

Journal Article – 2013 Journal Article 2013
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Results 1–25 of 31