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Publication	Type	Year
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

Publications

Mathematics Careers at Sandia National Laboratories

Multifidelity UQ Workflows with Dakota's Graphcal User Interface

Overview of the latest features and capabilities in the Dakota software

Flexible CI/CD Software Tools for the Dakota project

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

Flexible software tools for CI/CD for the Dakota project

Multifidelity Uq Workflows With Dakota?s Graphical User Interface

Overview Of The Latest Features And Capabilities In The Dakota Software

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

Dakota Software For Optimization, Uncertainty Quantification And Model Calibration

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

Dakota: Uncertainty Quantification and Beyond

Dakota Application Examples

Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact

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

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

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

Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact

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

Dimension-reduced UQ for Radiation Spectra

Optimal Control Effector Allocation for an Over-Actuated Flight Vehicle

Geometric Uncertainty Quantification And Robust Design For 2d Satellite Shielding

Adjoint-enabled Robust Radiation Shield Design

Dakota: What's New?

Adjoint-Enabled Multidimensional Optimization of Satellite Radiation Shields