Publications

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Overview of the latest features and capabilities in the Dakota software

2022 ECCOMAS Congress

John Adam Stephens, Daniel Thomas Seidl, Brian M. Adams, Gianluca Geraci

Conference Presentation – 2022 Conference Presentation 2022

A machine learning surrogate for density functional theory based on the local density of state

2022 Workshop on Recent Developments in Electronic Structure (ES22)

Normand A. Modine, Lenz Fiedler, Dayton Jonathan Vogel, Aidan P. Thompson, Austin Ellis, John Adam Stephens, Gabe Popoola, Attila Cangi, Sivasankaran Rajamanickam

Conference Presentation – 2022 Conference Presentation 2022

Flexible CI/CD Software Tools for the Dakota project

Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference

John Adam Stephens, Brian M. Adams, Wesley Poblete Coomber, Elliott Marshall Ridgway

Conference Presentation – 2022 Conference Presentation 2022

A machine learning surrogate for density functional theory based on the local density of states

2022 Workshop on Recent Developments in Electronic Structure (ES22)

Normand A. Modine, Lenz Fiedler, Dayton Jonathan Vogel, Aidan P. Thompson, Austin Ellis, John Adam Stephens, Gabe Popoola, Attila Cangi, Sivasankaran Rajamanickam

Abstract – 2022 Abstract 2022

Flexible software tools for CI/CD for the Dakota project

2022 Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference

John Adam Stephens, Brian M. Adams, Wesley Poblete Coomber, Elliott Marshall Ridgway

Abstract – 2022 Abstract 2022

Overview Of The Latest Features And Capabilities In The Dakota Software

8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)

John Adam Stephens, Daniel Thomas Seidl, Brian M. Adams, Gianluca Geraci

Abstract – 2021 Abstract 2021

Dakota Software For Optimization, Uncertainty Quantification And Model Calibration

Eccomas 2022

Daniel Thomas Seidl, Brian M. Adams, John Adam Stephens, Gianluca Geraci

Abstract – 2021 Abstract 2021

Developing uncertainty quantification strategies in electromagnetic problems involving highly resonant cavities

Journal of Verification, Validation and Uncertainty Quantification

Salvatore Campione, John Adam Stephens, Nevin Martin, Aubrey Celia Eckert, Larry K. Warne, Jose Gabriel Huerta, Robert Anthony Pfeiffer, Adam Jones

https://www.osti.gov/search/identifier:1822223

Journal Article – 2021 Journal Article 2021

Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks

Austin Ellis, Lenz Fielder, Gabriel ANUOLUWAPO Popoola, Normand A. Modine, John Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam

https://www.osti.gov/search/identifier:1817970

Report – 2021 Report 2021

Dakota: Uncertainty Quantification and Beyond

IAEA EVT2005676 (Virtual Event) Consultancy Meeting on MELCOR/DAKOTA Coupling in SNAP and Stand-Alone Severe Accident and Uncertainty Analysis

Brian M. Adams, John Adam Stephens

https://www.osti.gov/search/identifier:1856466

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Accelerating Multiscale Materials Modeling with Machine Learning

SIAM Conference on Computational Science an Engineering

J. Austin Ellis, Sivasankaran Rajamanickam, Normand A. Modine, Aidan P. Thompson, John Adam Stephens, Attila Cangi

https://www.osti.gov/search/identifier:1853873

Conference Presentation – 2021 Conference Presentation 2021

Uncertainty Quantification In Electromagnetic

Wccm-eccomas

Adam Jones, Salvatore Campione, John Adam Stephens, Aubrey Celia Eckert, Larry K. Warne, Jose Gabriel Huerta, Robert Anthony Pfeiffer

https://www.osti.gov/search/identifier:1837143

Conference Presentation – 2020 Conference Presentation 2020

Accelerating Finite-temperature Kohn-Sham Density Functional Theory\ with Deep Neural Networks

John Ellis, Attila cangi, Normand A. Modine, John Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam

https://www.osti.gov/search/identifier:1677521

Report – 2020 Report 2020

Managing execution of Dakota evaluations with Parsl

Parslfest 2020

John Adam Stephens

https://www.osti.gov/search/identifier:1824264

Conference Presentation – 2020 Conference Presentation 2020

Dakota: New and Emerging Features

DoD-SNL ModSim Workshop

John Adam Stephens

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.12 User?s Manual

Brian M. Adams, William J. Bohnhoff, Keith Dalbey, Mohamed Salah Ebeida, John P. Eddy, Michael S. Eldred, Russell Hooper, Patricia D. Hough, Kenneth Hu, John Davis Jakeman, Mohammad Khalil, Kathryn Anne Maupin, Jason A. Monschke, Elliott Marshall Ridgway, Ahmad Rushdi, Daniel Thomas Seidl, John Adam Stephens, Laura Painton Swiler, Justin Winokur

https://www.osti.gov/search/identifier:1630694

SAND Report – 2020 SAND Report 2020

Dakota: What's New?

14th WCCM and ECCOMAS Congress 2020

John Adam Stephens

Abstract – 2020 Abstract 2020

Uncertainty Quantification In Electromagnetic Problems Of Highly Resonant Cavities Using Dakota

14th World Congress in Computational Mechanics and ECCOMAS Congress

Salvatore Campione, John Adam Stephens, Nevin Martin, Aubrey Celia Eckert, Larry K. Warne, Jose Gabriel Huerta, Robert Anthony Pfeiffer, Adam Jones

https://www.osti.gov/search/identifier:1761295

Conference Paper – 2020 Conference Paper 2020

Redesign of a forging geometry using Dakota optimization software

15th US National Congress on Computational Mechanics

Lauren L. Beghini, Andrew Joseph Stershic, John Adam Stephens

https://www.osti.gov/search/identifier:1641383

Conference Paper – 2019 Conference Paper 2019

Dakota: What's New?

US National Congress on Computational Mechanics

John Adam Stephens, Brian M. Adams, Gianluca Geraci

https://www.osti.gov/search/identifier:1641381

Conference Paper – 2019 Conference Paper 2019

Dakota and Sierra Tools for Uncertainty Quantification and Advanced Modeling and Simulation

SNL Dakota & Sierra Seminar

Matthew R Denman, John Adam Stephens, Aubrey Celia Eckert, Martin W. Heinstein

Presentation (non-conference) – 2018 Presentation (non-conference) 2018

Dakota Optimization and UQ: Explore and Predict with Confidence

2018 SIAM Conference on Uncertainty Quantification

Brian M. Adams, Patricia D. Hough, John Adam Stephens

https://www.osti.gov/search/identifier:1513478

Conference Paper – 2018 Conference Paper 2018

Dakota Optimization and UQ: Explore and Predict with Confidence

Invited Presentation at LANL

Brian M. Adams, John Adam Stephens

https://www.osti.gov/search/identifier:1507940

Presentation (non-conference) – 2018 Presentation (non-conference) 2018

Dakota: Explore and Predict with Confidence

DoD/SNL Workshop

John Adam Stephens, Brian M. Adams

https://www.osti.gov/search/identifier:1525600

Conference Paper – 2018 Conference Paper 2018

UQ Theories, Principles, and Tools: Dakota Topics

Quantification of Uncertainty Workshop

Laura Painton Swiler, John Adam Stephens

https://www.osti.gov/search/identifier:1463778

Conference Paper – 2017 Conference Paper 2017
Document Title Type Year
Results 1–25 of 36