John Adam Stephens

Michael Eldred, Brian Adams, Gianluca Geraci, Teresa Portone, Elliott Ridgway, John Stephens, Timothy Wildey, (2022). Deployment of Multifidelity Uncertainty Quantification for Thermal Battery Assessment Part I: Algorithms and Single Cell Results https://doi.org/10.2172/1885882 Publication ID: 80135

Normand Modine, John Stephens, Laura Swiler, Aidan Thompson, Dayton Vogel, Attila Cangi, Lenz Feilder, Sivasankaran Rajamanickam, (2022). Accelerating Multiscale Materials Modeling with Machine Learning https://doi.org/10.2172/1889336 Publication ID: 80251

Salvatore Campione, John Stephens, Nevin Martin, Aubrey Eckert, Larry Warne, Jose Huerta, Robert Pfeiffer, Adam Jones, (2021). Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities Journal of Verification, Validation and Uncertainty Quantification https://doi.org/10.1115/1.4051906 Publication ID: 79164

J. Ellis, L. Fiedler, G. Popoola, Normand Modine, John Stephens, Aidan Thompson, A. Cangi, Sivasankaran Rajamanickam, (2021). Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks Physical Review B https://doi.org/10.2172/1817970 Publication ID: 79009

J. Ellis, Sivasankaran Rajamanickam, Normand Modine, Aidan Thompson, John Stephens, Attila Cangi, (2021). Accelerating Multiscale Materials Modeling with Machine Learning https://doi.org/10.2172/1853873 Publication ID: 77423

Brian Adams, John Stephens, (2021). Dakota: Uncertainty Quantification and Beyond https://www.osti.gov/servlets/purl/1856466 Publication ID: 77717

Adam Jones, Salvatore Campione, John Stephens, Aubrey Eckert, Larry Warne, Jose Huerta, Robert Pfeiffer, (2020). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC https://doi.org/10.2172/1837143 Publication ID: 72233

John Stephens, (2020). Managing execution of Dakota evaluations with Parsl https://doi.org/10.2172/1824264 Publication ID: 71082

Salvatore Campione, John Stephens, Nevin Martin, Aubrey Eckert, Larry Warne, Jose Huerta, Robert Pfeiffer, Adam Jones, (2020). UNCERTAINTY QUANTIFICATION IN ELECTROMAGNETIC PROBLEMS OF HIGHLY RESONANT CAVITIES USING DAKOTA https://www.osti.gov/servlets/purl/1761295 Publication ID: 70739

John Stephens, Brian Adams, Gianluca Geraci, (2019). Dakota: What’s New? https://www.osti.gov/servlets/purl/1641381 Publication ID: 70068

Lauren Beghini, Andrew Stershic, John Stephens, (2019). Redesign of a forging geometry using Dakota optimization software https://www.osti.gov/servlets/purl/1641383 Publication ID: 70070

Brian Adams, Patricia Hough, John Stephens, (2018). Dakota Optimization and UQ: Explore and Predict with Confidence https://www.osti.gov/servlets/purl/1513478 Publication ID: 62061

Brian Adams, John Stephens, (2018). Dakota Optimization and UQ: Explore and Predict with Confidence https://www.osti.gov/servlets/purl/1507940 Publication ID: 61616

John Stephens, Brian Adams, (2018). Dakota: Explore and Predict with Confidence https://www.osti.gov/servlets/purl/1525600 Publication ID: 61415

Laura Swiler, John Stephens, (2017). UQ Theories Principles and Tools: Dakota Topics https://www.osti.gov/servlets/purl/1463778 Publication ID: 57683

John Stephens, (2017). Algorithms for Design Exploration and Simulation Credibility https://www.osti.gov/servlets/purl/1424866 Publication ID: 55122

Elizabeth Decolvenaere, Aidan Thompson, John Stephens, (2016). SNAP Update 2016 https://www.osti.gov/servlets/purl/1399191 Publication ID: 52679

Brian Adams, John Stephens, (2016). Dakota: Algorithms for Design Exploration and Simulation Credibility; Data Analysis Capabilities https://www.osti.gov/servlets/purl/1346113 Publication ID: 48663

Brian Adams, Patricia Hough, John Stephens, (2016). Dakota Software Training: Uncertainty Quantification https://www.osti.gov/servlets/purl/1239352 Publication ID: 47954

Patricia Hough, John Stephens, (2016). Dakota: Algorithms for Design Exploration and Simulation Credibility https://www.osti.gov/servlets/purl/1344843 Publication ID: 48477

Keith Dalbey, Brian Adams, John Stephens, Laura Swiler, (2015). Dakota Sensitivity Analysis and Uncertainty Quantification with Examples https://www.osti.gov/servlets/purl/1244466 Publication ID: 42678

Aidan Thompson, Peter Schultz, Paul Crozier, Stan Moore, Laura Swiler, John Stephens, Christian Trott, Stephen Foiles, Garritt Tucker, (2014). Automated Algorithms for Quantum-Level Accuracy in Atomistic Simulations: LDRD Final Report https://doi.org/10.2172/1158668 Publication ID: 38622

Brian Adams, John Jakeman, Laura Swiler, John Stephens, Dena Vigil, Timothy Wildey, Lara Bauman, William Bohnhoff, Keith Dalbey, John Eddy, Mohamed Ebeida, Michael Eldred, Patricia Hough, Kenneth Hu, (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

Brian Adams, John Jakeman, Laura Swiler, John Stephens, Dena Vigil, Timothy Wildey, Lara Bauman, William Bohnhoff, Keith Dalbey, John Eddy, Mohamed Ebeida, Michael Eldred, Patricia Hough, Kenneth Hu, (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