Publications

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Mathematics Careers at Sandia National Laboratories

SIAM Annual Meeting

Brian M. Adams

Conference Presentation – 2022 Conference Presentation 2022

Multifidelity UQ Workflows with Dakota's Graphcal User Interface

Eccomas 2022

Gianluca Geraci, Elliott Marshall Ridgway, Brian M. Adams, Bryan William Reuter, Michael S. Eldred

Conference Presentation – 2022 Conference Presentation 2022

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

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

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 User's Manual

Brian Homer Adams, William (SNL) Bohnhoff, Keith (SNL) Dalbey, Mohamed (SNL) Ebeida, John (SNL) Eddy, Michael (SNL) Eldred, Russell (SNL) Hooper, Patricia (SNL) Hough, Kenneth (SNL) Hu, John (SNL) Jakeman, Mohammad (SNL) Khalil, Kathryn (SNL) Maupin, Jason A. Monschke, Elliott (SNL) Ridgway, Ahmad (SNL) Rushdi, Daniel (SNL) Seidl, John (SNL) Stephens, Laura Painton Swiler, Anh Tran, Justin (SNL) Winokur

https://www.osti.gov/search/identifier:1868142

SAND Report – 2022 SAND Report 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

Multifidelity Uq Workflows With Dakota?s Graphical User Interface

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

Gianluca Geraci, Elliott Marshall Ridgway, Brian M. Adams, Bryan William Reuter, Michael S. Eldred

Abstract – 2021 Abstract 2021

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, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.15 User's Manual

Brian M. Adams, William (SNL) Bohnhoff, Keith (SNL) Dalbey, Mohamed (SNL) Ebeida, John (SNL) Eddy, Michael (SNL) Eldred, Russell (SNL) Hooper, Patricia (SNL) Hough, Kenneth (SNL) Hu, John (SNL) Jakeman, Mohammad (SNL) Khalil, Kathryn (SNL) Maupin, Jason A. Monschke, Elliott (SNL) Ridgway, Ahmad (SNL) Rushdi, Daniel (SNL) Seidl, John (SNL) Stephens, Justin (SNL) Winokur

https://www.osti.gov/search/identifier:1829573

SAND Report – 2021 SAND Report 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

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.14 User's Manual

Brian M. Adams, William (SNL) Bohnhoff, Keith (SNL) Dalbey, Mohamed (SNL) Ebeida, John (SNL) Eddy, Michael (SNL) Eldred, Russell (SNL) Hooper, Patricia (SNL) Hough, Kenneth (SNL) Hu, John (SNL) Jakeman, Mohammad (SNL) Khalil, Kathryn (SNL) Maupin, Jason A. Monschke, Elliott (SNL) Ridgway, Ahmad (SNL) Rushdi, Daniel (SNL) Seidl, John (SNL) Stephens, Justin (SNL) Winokur

https://www.osti.gov/search/identifier:1784844

SAND Report – 2021 SAND 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

Dakota Application Examples

Michael S. Eldred, Brian Homer Adams

Marketing or Promotional – 2021 Marketing or Promotional 2021

Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact

CASL Symposium at 2020 ANS Winter Meeting

Brian M. Adams, Russell Hooper

https://www.osti.gov/search/identifier:1832625

Conference Presentation – 2020 Conference Presentation 2020

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 User's Manual

Brian M. Adams, William (SNL) Bohnhoff, Keith (SNL) Dalbey, Mohamed (SNL) Ebeida, John (SNL) Eddy, Michael (SNL) Eldred, Russell (SNL) Hooper, Patricia (SNL) Hough, Kenneth (SNL) Hu, John (SNL) Jakeman, Mohammad (SNL) Khalil, Kathryn (SNL) Maupin, Jason A. Monschke, Elliott (SNL) Ridgway, Ahmad (SNL) Rushdi, Daniel (SNL) Seidl, John (SNL) Stephens, Justin (SNL) Winokur

https://www.osti.gov/search/identifier:1817318

SAND Report – 2020 SAND Report 2020

Make a Difference: Mathematical Sciences R&D Careers at Sandia National Laboratories

NCSU Math/Stat Recruiting Session

Brian M. Adams, Teresa Portone

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 Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact

Consortium for Advanced Simulation of LWRs (CASL) Technical Symposium

Brian M. Adams, Russell Hooper

https://www.osti.gov/search/identifier:1769569

Conference Paper – 2020 Conference Paper 2020

Computer Science and Cybersecurity R&D Careers at Sandia National Laboratories

Recruiting Info Sesssions at NCSU, UNC

Brian M. Adams

https://www.osti.gov/search/identifier:1646264

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Dimension-reduced UQ for Radiation Spectra

SIAM Conference on Uncertainty Quantification (UQ20)

Brian M. Adams, Kathryn Anne Maupin

Abstract – 2019 Abstract 2019

Optimal Control Effector Allocation for an Over-Actuated Flight Vehicle

2020 AIAA DEFENSE Forum

David Michael Kozlowski, Brian M. Adams, Gregory John von Winckel

Abstract – 2019 Abstract 2019

Geometric Uncertainty Quantification And Robust Design For 2d Satellite Shielding

International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2019)

Shawn D. Pautz, Brian M. Adams, Donald Eugene Bruss

https://www.osti.gov/search/identifier:1641706

Conference Paper – 2019 Conference Paper 2019

Adjoint-enabled Robust Radiation Shield Design

15th U.S. National Congress on Computational Mechanics

Brian M. Adams, Shawn D. Pautz, Donald Eugene Bruss, Brian C. Franke, Ethan Blansett, Laura Painton Swiler

https://www.osti.gov/search/identifier:1641509

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

Adjoint-Enabled Multidimensional Optimization of Satellite Radiation Shields

American Nuclear Society Annual Meeting

Shawn D. Pautz, Donald Eugene Bruss, Brian M. Adams, Brian C. Franke, Ethan Blansett

https://www.osti.gov/search/identifier:1640636

Conference Paper – 2019 Conference Paper 2019
Document Title Type Year
Results 1–25 of 133