Publications

Advanced Search

Results 26–50 of 62

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
Towards Z-Next: The Integration of Theory, Experiments, and Computational Simulation in a Bayesian Data Assimilation Framework N/a Kathryn Anne Maupin	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Physics-Informed Learning and Data-Enabled Predictive Modeling and Discovery of Complex Systems 16th U.S. National Congress on Computational Mechanics Kathryn Anne Maupin, Danial Faghihi, Jian Wang, Hao Sun	Abstract – 2020 Abstract	2020
Model Discrepancy Calibration and Propagation Across Experimental Settings World Congress on Computational Mechanics Kathryn Anne Maupin, Laura Painton Swiler https://www.osti.gov/search/identifier:1833158	Conference Presentation – 2020 Conference Presentation	2020
Use of model discrepancy and model selection as a means of informing missing physics. SIAM Computational Science and Engineering 2021 Kathryn Anne Maupin, Teresa Portone	Abstract – 2020 Abstract	2020
Validation Metrics for Fixed Effects and Mixed-Effects Calibration Journal of Verification, Validation and Uncertainty Quantification Nathan Wayne Porter, Kathryn Anne Maupin, Laura Painton Swiler, Vincent Andrew Mousseau https://www.osti.gov/search/identifier:1769907	Journal Article – 2020 Journal Article	2020
Use of model discrepancy and model selection as a means of informing missing physics SIAM Conference on Computational Science and Engineering Kathryn Anne Maupin, Teresa Portone	Abstract – 2020 Abstract	2020
Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.12 Theory Manual Keith Dalbey, Michael S. Eldred, Gianluca Geraci, John Davis Jakeman, Kathryn Anne Maupin, Jason A. Monschke, Daniel Thomas Seidl, Laura Painton Swiler, Anh Tran, Friedrich Menhorn, Xiaoshu Zeng https://www.osti.gov/search/identifier:1630693	SAND Report – 2020 SAND Report	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
Model discrepancy calibration across experimental settings Reliability Engineering and System Safety Kathryn Anne Maupin, Laura Painton Swiler	Journal Article – 2020 Journal Article	2020
Calibration, Propagation, and Validation of Model Discrepancy Across Experimental Settings SIAM Conference on Uncertainty Quantification Kathryn Anne Maupin, Laura Painton Swiler https://www.osti.gov/search/identifier:1769563	Conference Paper – 2020 Conference Paper	2020
Data-Enabled Predictive Modeling, Machine Learning, and Uncertainty Quantification in Computational Mechanics Imece 2020 Kathryn Anne Maupin, Danial Faghihi	Abstract – 2020 Abstract	2020
Model Discrepancy Calibration and Propagation Across Experimental Settings 14th World Congress on Computational Mechanics Kathryn Anne Maupin, Laura Painton Swiler	Abstract – 2019 Abstract	2019
Dimension-reduced UQ for Radiation Spectra SIAM Conference on Uncertainty Quantification (UQ20) Brian M. Adams, Kathryn Anne Maupin	Abstract – 2019 Abstract	2019
Approaches to Quantifying Model-Form Uncertainty SIAM Conference on Uncertainty Quantification Kathryn Anne Maupin, Teresa Portone	Abstract – 2019 Abstract	2019
Calibration, Propagation, and Validation of Model Discrepancy Across Experimental Settings SIAM Conference on Uncertainty Quantification Kathryn Anne Maupin, Laura Painton Swiler	Abstract – 2019 Abstract	2019
Characterizing Model Discrepancy Across Experimental Conditions CIS External Review Kathryn Anne Maupin, Laura Swiler https://www.osti.gov/search/identifier:1807177	Display or Poster (non-conference) – 2019 Display or Poster (non-conference)	2019
Towards Calibration of Fusion Fuel State Diagnostics US National Congress on Computational Mechanics Kathryn Anne Maupin, Kathryn Anne Maupin, Patrick Knapp, Patrick Knapp, Michael Edwin Glinsky, Michael Edwin Glinsky https://www.osti.gov/search/identifier:1641342	Conference Paper – 2019 Conference Paper	2019
Improving Predictive Capabilities Through Model Error Quantification 14th World Congress on Computational Mechanics Kathryn Anne Maupin, Brian Andrew Freno	Abstract – 2019 Abstract	2019
Calibration, Propagation, and Validation of Model Discrepancy Across Experiments SIAM Conference on Computational Science and Engineering Kathryn Anne Maupin, Laura Painton Swiler https://www.osti.gov/search/identifier:1639186	Conference Paper – 2019 Conference Paper	2019
Validation Metrics for Deterministic and Probabilistic Data Journal of Verification, Validation and Uncertainty Quantification Kathryn Anne Maupin, Kathryn Anne Maupin, Laura Painton Swiler, Laura Painton Swiler, Nathan Porter, Nathan Porter https://www.osti.gov/search/identifier:1496637	Journal Article – 2019 Journal Article	2019
Towards Calibration of Fusion Fuel State Diagnostics SIAM Conference on Computational Science and Engineering Kathryn Anne Maupin, Michael Edwin Glinsky, Patrick Knapp	Abstract – 2019 Abstract	2019
Calibration, Propagation, and Validation of Model Discrepancy Across Experiments SIAM Conference on Computational Science and Engineering Kathryn Anne Maupin, Laura Painton Swiler	Abstract – 2018 Abstract	2018
Calibration and Propagation of Model Discrepancy Across Experiments SIAM Conference on Uncertainty Quantification Kathryn Anne Maupin, Laura Painton Swiler https://www.osti.gov/search/identifier:1806944	Conference Paper – 2018 Conference Paper	2018
SNL ATDM Math Libraries ? Data Propagation Components 2018 ECP Annual Meeting Eric T. Phipps, Daniel Z. Turner, Kathryn Anne Maupin, Jaideep Ray, Denis Ridzal https://www.osti.gov/search/identifier:1806499	Display or Poster (non-conference) – 2018 Display or Poster (non-conference)	2018
Calibration and Propagation of Model Discrepancy Across Experiments 13th World Congress on Computational Mechanics Kathryn Anne Maupin, Laura Painton Swiler	Abstract – 2018 Abstract	2018
Document Title	Type	Year

Results 26–50 of 62

Publications

Towards Z-Next: The Integration of Theory, Experiments, and Computational Simulation in a Bayesian Data Assimilation Framework

Physics-Informed Learning and Data-Enabled Predictive Modeling and Discovery of Complex Systems

Model Discrepancy Calibration and Propagation Across Experimental Settings

Use of model discrepancy and model selection as a means of informing missing physics.

Validation Metrics for Fixed Effects and Mixed-Effects Calibration

Use of model discrepancy and model selection as a means of informing missing physics

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

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

Model discrepancy calibration across experimental settings

Calibration, Propagation, and Validation of Model Discrepancy Across Experimental Settings

Data-Enabled Predictive Modeling, Machine Learning, and Uncertainty Quantification in Computational Mechanics

Model Discrepancy Calibration and Propagation Across Experimental Settings

Dimension-reduced UQ for Radiation Spectra

Approaches to Quantifying Model-Form Uncertainty

Calibration, Propagation, and Validation of Model Discrepancy Across Experimental Settings

Characterizing Model Discrepancy Across Experimental Conditions

Towards Calibration of Fusion Fuel State Diagnostics

Improving Predictive Capabilities Through Model Error Quantification

Calibration, Propagation, and Validation of Model Discrepancy Across Experiments

Validation Metrics for Deterministic and Probabilistic Data

Towards Calibration of Fusion Fuel State Diagnostics

Calibration, Propagation, and Validation of Model Discrepancy Across Experiments

Calibration and Propagation of Model Discrepancy Across Experiments

SNL ATDM Math Libraries ? Data Propagation Components

Calibration and Propagation of Model Discrepancy Across Experiments