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Publication	Type	Year
Computing bulk permeabilities for Task F Reference Case Decovalex D-2023 Ws#4 Teresa Portone	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
STARTHBCU Fall Newsletter Rahni Shakhelle Kellum, Teresa Portone, Adrienne Phillips, Alexis Taryn Joiner	Marketing or Promotional – 2021 Marketing or Promotional	2021
Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysis SIAM Conference on Uncertainty Quantification (UQ22) Michael Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred, Pierre Gremaud	Abstract – 2021 Abstract	2021
Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository SIAM Conference on Uncertainty Quantification (UQ22) Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosemary Claire Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Timothy M. Berg	Abstract – 2021 Abstract	2021
Physics-constrained Bayesian inference of an uncertain operator in the sparse-data regime Siam Uq22 Teresa Portone, Robert D. Moser	Abstract – 2021 Abstract	2021
The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission Impact NASA Langley HPC Seminar Series Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone, Timothy Michael Wildey, Ahmad Rushdi, Daniel Thomas Seidl	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Advanced multilevel and multifidelity UQ strategies: applications, generalized model hierarchies, and data-driven approaches SIAM Conference of Uncertainty Quantification (UQ22) Teresa Portone, John Davis Jakeman, Alex Arkady Gorodetsky	Abstract – 2021 Abstract	2021
Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021) Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Teresa Portone, Mariah Lee Smith, Emily Stein https://www.osti.gov/search/identifier:1855018	Report – 2021 Report	2021
Probabilistic methods for model inadequacy Eccomas 2022 Teresa Portone, Kathryn Anne Maupin, Rebecca Morrison	Abstract – 2021 Abstract	2021
Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics 2021 AGU Fall Meeting Teresa Portone, Laura Painton Swiler, Mariah Lee Smith	Abstract – 2021 Abstract	2021
Efficient Deployment of Multifidelity Sampling Methods in Production Settings Usnccm16 Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone	Conference Presentation – 2021 Conference Presentation	2021
Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis 16th US National Congress on Computational Mechanics Merritt Michael, Gianluca Geraci, Michael S. Eldred, Teresa Portone	Conference Presentation – 2021 Conference Presentation	2021
Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations 16th U.S. National Congress on Computational Mechanics Teresa Portone, Erin Acquesta, Raj Dandekar, Chris Rackauckas	Conference Presentation – 2021 Conference Presentation	2021
Assessing the Efficacy of Universal Differential Equations to Learn Missing Dynamics from a Subset of Observable State Variables Machine Learning Deep Learning Workshop Erin Acquesta, Teresa Portone	Conference Presentation – 2021 Conference Presentation	2021
Multi-fidelity Machine Learning Machine Learning and Deep Learning Conference John Davis Jakeman, Michael S. Eldred, Gianluca Geraci, Teresa Portone, Ahmad Rushdi, Daniel Thomas Seidl, Thomas M. Smith https://www.osti.gov/search/identifier:1876608	Conference Presentation – 2021 Conference Presentation	2021
STARTHBCU June Newsletter Teresa Portone, Adrienne Phillips, Rahni Shakhelle Kellum, Christian Mailhiot	Marketing or Promotional – 2021 Marketing or Promotional	2021
Fracture statistics and integration into computational models Crystalline Club 4th meeting Teresa Portone https://www.osti.gov/search/identifier:1869537	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Multifidelity modeling for uncertainty assessment 2021 SFWD Annual Meeting Teresa Portone https://www.osti.gov/search/identifier:1867791	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Repository Performance Metrics and Other Quantities of Interest DECOVALEX-2023 Workshop #3 Paul Mariner, Dusty Marie Brooks, Teresa Portone https://www.osti.gov/search/identifier:1866339	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
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 https://www.osti.gov/search/identifier:1848042	Conference Presentation – 2021 Conference Presentation	2021
Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ Siam Cse21 Michael S. Eldred, Alex Arkady Gorodetsky, Gianluca Geraci, John Davis Jakeman, Teresa Portone https://www.osti.gov/search/identifier:1847573	Conference Presentation – 2021 Conference Presentation	2021
Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis Siam Cse 2021 Michael Merritt, Gianluca Geraci, Michael S. Eldred, Teresa Portone https://www.osti.gov/search/identifier:1847581	Conference Presentation – 2021 Conference Presentation	2021
Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model SIAM Conference on Computational Science and Engineering (CSE21) Teresa Portone, Laura Painton Swiler, Gianluca Geraci, Michael S. Eldred https://www.osti.gov/search/identifier:1847219	Conference Presentation – 2021 Conference Presentation	2021
Global Sensitivity Analysis via hybrid MLMC PCE 16th U.S. National Congress on Computational Mechanics Michael Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred	Abstract – 2021 Abstract	2021
Learning missing mechanisms in a dynamical system from a subset of state variable observations 16th U.S. National Congress on Computational Mechanics Teresa Portone, Erin Acquesta, Ahmad Rushdi, Raj Dandekar, Chris Rackauckas	Abstract – 2021 Abstract	2021
Document Title	Type	Year

Results 26–50 of 66

Publications

Computing bulk permeabilities for Task F Reference Case

STARTHBCU Fall Newsletter

Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysis

Use of a machine learning model for a constitutive chemistry model within a groundwater flow and transport application modeling nuclear fuel degradation in a waste repository

Physics-constrained Bayesian inference of an uncertain operator in the sparse-data regime

The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission Impact

Advanced multilevel and multifidelity UQ strategies: applications, generalized model hierarchies, and data-driven approaches

Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021)

Probabilistic methods for model inadequacy

Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics

Efficient Deployment of Multifidelity Sampling Methods in Production Settings

Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis

Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations

Assessing the Efficacy of Universal Differential Equations to Learn Missing Dynamics from a Subset of Observable State Variables

Multi-fidelity Machine Learning

STARTHBCU June Newsletter

Fracture statistics and integration into computational models

Multifidelity modeling for uncertainty assessment

Repository Performance Metrics and Other Quantities of Interest

Use of Model Discrepancy and Model Selection as a Means of Informing Missing Physics

Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ

Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis

Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model

Global Sensitivity Analysis via hybrid MLMC PCE

Learning missing mechanisms in a dynamical system from a subset of state variable observations