Publications
Publication | Type | Year |
---|---|---|
Overview of the latest features and capabilities in the Dakota software2022 ECCOMAS Congress
|
Conference Presentation – 2022 Conference Presentation | 2022 |
A machine learning surrogate for density functional theory based on the local density of state2022 Workshop on Recent Developments in Electronic Structure (ES22)
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Flexible CI/CD Software Tools for the Dakota projectTri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference
|
Conference Presentation – 2022 Conference Presentation | 2022 |
A machine learning surrogate for density functional theory based on the local density of states2022 Workshop on Recent Developments in Electronic Structure (ES22)
|
Abstract – 2022 Abstract | 2022 |
Flexible software tools for CI/CD for the Dakota project2022 Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference
|
Abstract – 2022 Abstract | 2022 |
Overview Of The Latest Features And Capabilities In The Dakota Software8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
|
Abstract – 2021 Abstract | 2021 |
Dakota Software For Optimization, Uncertainty Quantification And Model CalibrationEccomas 2022
|
Abstract – 2021 Abstract | 2021 |
Developing uncertainty quantification strategies in electromagnetic problems involving highly resonant cavitiesJournal of Verification, Validation and Uncertainty Quantification |
Journal Article – 2021 Journal Article | 2021 |
Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks |
Report – 2021 Report | 2021 |
Dakota: Uncertainty Quantification and BeyondIAEA EVT2005676 (Virtual Event) Consultancy Meeting on MELCOR/DAKOTA Coupling in SNAP and Stand-Alone Severe Accident and Uncertainty Analysis |
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Accelerating Multiscale Materials Modeling with Machine LearningSIAM Conference on Computational Science an Engineering |
Conference Presentation – 2021 Conference Presentation | 2021 |
Uncertainty Quantification In ElectromagneticWccm-eccomas |
Conference Presentation – 2020 Conference Presentation | 2020 |
Accelerating Finite-temperature Kohn-Sham Density Functional Theory\ with Deep Neural Networks |
Report – 2020 Report | 2020 |
Managing execution of Dakota evaluations with ParslParslfest 2020 |
Conference Presentation – 2020 Conference Presentation | 2020 |
Dakota: New and Emerging FeaturesDoD-SNL ModSim Workshop
|
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 |
SAND Report – 2020 SAND Report | 2020 |
Dakota: What's New?14th WCCM and ECCOMAS Congress 2020
|
Abstract – 2020 Abstract | 2020 |
Uncertainty Quantification In Electromagnetic Problems Of Highly Resonant Cavities Using Dakota14th World Congress in Computational Mechanics and ECCOMAS Congress |
Conference Paper – 2020 Conference Paper | 2020 |
Redesign of a forging geometry using Dakota optimization software15th US National Congress on Computational Mechanics |
Conference Paper – 2019 Conference Paper | 2019 |
Dakota: What's New?US National Congress on Computational Mechanics |
Conference Paper – 2019 Conference Paper | 2019 |
Dakota and Sierra Tools for Uncertainty Quantification and Advanced Modeling and SimulationSNL Dakota & Sierra Seminar
|
Presentation (non-conference) – 2018 Presentation (non-conference) | 2018 |
Dakota Optimization and UQ: Explore and Predict with Confidence2018 SIAM Conference on Uncertainty Quantification |
Conference Paper – 2018 Conference Paper | 2018 |
Dakota Optimization and UQ: Explore and Predict with ConfidenceInvited Presentation at LANL |
Presentation (non-conference) – 2018 Presentation (non-conference) | 2018 |
Dakota: Explore and Predict with ConfidenceDoD/SNL Workshop |
Conference Paper – 2018 Conference Paper | 2018 |
UQ Theories, Principles, and Tools: Dakota TopicsQuantification of Uncertainty Workshop |
Conference Paper – 2017 Conference Paper | 2017 |
Document Title | Type | Year |