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Publication	Type	Year
Discrete fracture network modeling and uncertainty analysis in Geologic Disposal Safety Assessment Framework AGU Fall Meeting 2022 Teresa Portone, Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Mariah Lee Smith, Emily Stein	Abstract – 2022 Abstract	2022
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository International High-Level Radioactive Waste Management Conference Bert Debusschere, Daniel Thomas Seidl, Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner	Conference Paper – 2022 Conference Paper	2022
Advanced Use Of Tracers In Repository Performance Assessment Modeling 2022 International High-Level Radioactive Waste Management Conference Paul Mariner, Eduardo Basurto, Dusty Marie Brooks, Rosemary Claire Leone, Teresa Portone, Laura Swiler	Conference Paper – 2022 Conference Paper	2022
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository DOE Computational Research Leadership Council (CRLC) Seminar Series Bert Debusschere, Timothy M. Berg, Daniel Thomas Seidl, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner	Abstract – 2022 Abstract	2022
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 Society of Industrial and Applied Mathematics(SIAM) Conference on Uncertainty Quantification Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosie Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Tim Berg	Conference Presentation – 2022 Conference Presentation	2022
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository 2022 International High Level Radioactive Waste Management Conference Bert Debusschere, Timothy M. Berg, Daniel Thomas Seidl, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner	Abstract – 2022 Abstract	2022
Sensitivity and uncertainty analysis of FMD model choice for a generic crystalline repository International High Level Radioactive Waste Management Conference (part of 2022 American Nuclear Society Annual meeting) Dusty Marie Brooks, Laura Painton Swiler, Paul Mariner, Teresa Portone, Eduardo Basurto, Rosemary Claire Leone	Abstract – 2022 Abstract	2022
Advanced Use of Tracers in Repository Performance Assessment Modeling 2022 International High-Level Radioactive Waste Management Conference Paul Mariner, Eduardo Basurto, Dusty Marie Brooks, Rosemary Claire Leone, Teresa Portone, Laura Painton Swiler	Conference Paper – 2022 Conference Paper	2022
GDSA Framework Development and Process Model Integration FY2021 Paul Mariner, Timothy M. Berg, Bert Debusschere, Aubrey Celia Eckert, Jacob Harvey, Tara LaForce, Rosemary Claire Leone, Melissa Marie Mills, Michael Anthony Nole, Heeho Daniel Park, F.V. Perry, Daniel Thomas Seidl, Laura Painton Swiler, Kyung Won Chang https://www.osti.gov/search/identifier:1825056	Report – 2021 Report	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
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
Machine Learning Surrogates for the Fuel Matrix Degradation Model Spent Fuel and Waste Science and Technology (SFWST) Timothy M. Berg, Paul Mariner, Bert Debusschere, Daniel Thomas Seidl, Rosemary Claire Leone, Kyung Won Chang https://www.osti.gov/search/identifier:1869760	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
Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering (CSE21) Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Daniel Thomas Seidl, Paul Mariner, Bert Debusschere https://www.osti.gov/search/identifier:1854307	Conference Presentation – 2021 Conference Presentation	2021
Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Paul Mariner, Teresa Portone, Emily Stein https://www.osti.gov/search/identifier:1671381	Report – 2020 Report	2020
Surrogate Model Development of Spent Fuel Degradation for Repository Performance Assessment Paul Mariner, Timothy M. Berg, Kyung Won Chang, Bert Debusschere, Rosemary Claire Leone, Daniel Thomas Seidl https://www.osti.gov/search/identifier:1673178	Report – 2020 Report	2020
Advances in GDSA Framework Development and Process Model Integration Paul Mariner, Michael Anthony Nole, Eduardo Basurto, Timothy M. Berg, Kyung Won Chang, Bert Debusschere, Aubrey Celia Eckert, Mohamed Salah Ebeida, Michael Benjamin Gross, Glenn Hammond, Jacob Harvey, Spencer Holloran Jordan, Kristopher L Kuhlman, Tara LaForce, Rosemary Claire Leone, William C. McLendon, Melissa Marie Mills, Heeho Daniel Park, Frank Vinton Perry, Alex Salazar, Daniel Thomas Seidl, Sevougian David, Emily Stein, Laura Painton Swiler https://www.osti.gov/search/identifier:1671380	Report – 2020 Report	2020
Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment SIAM Conference on Computational Science and Engineering (CSE21) Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Daniel Thomas Seidl, Paul Mariner, Bert Debusschere	Abstract – 2020 Abstract	2020
Surrogate Modeling of Spatially Heterogeneous Source Terms for Probabilistic Assessment of Repository Performance International Workshop on ?How to integrate geochemistry at affordable costs into reactive transport for large-scale systems? Paul Mariner, Bert Debusschere, Glenn Edward Hammond, Daniel Thomas Seidl, Swiler Laura, Jonathon Vo https://www.osti.gov/search/identifier:1763614	Conference Paper – 2020 Conference Paper	2020
Surrogate Modeling of Spatially Heterogeneous Source Terms for Probabilistic Assessment of Repository Performance International Workshop on How to integrate geochemistry at affordable costs into reactive transport for large-scale systems Paul Mariner, Bert Debusschere, Glenn Edward Hammond, Daniel Thomas Seidl, Laura Swiler, Jonathan Vo	Abstract – 2019 Abstract	2019
Status Report on Uncertainty Quantification and Sensitivity Analysis Tools in the Geologic Disposal Safety Assessment (GDSA) Framework Laura Painton Swiler, Jon C. Helton, Eduardo Basurto, Dusty Marie Brooks, Paul Mariner, Leslie Melissa Moore, Sitakanta NMN Mohanty, Stephen David Sevougian, Emily Stein https://www.osti.gov/search/identifier:1574263	Report – 2019 Report	2019
Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment DECOVALEX 2019 Symposium Paul Mariner, Bert Debusschere, James Jerden, Daniel Thomas Seidl, Laura Painton Swiler, Jonathan Vo https://www.osti.gov/search/identifier:1643084	Conference Paper – 2019 Conference Paper	2019
A Joint Exercise on Sensitivity Analysis in Repository Performance Assessment Samo2019 D-A Becker, Dusty Marie Brooks, J Govaerts, L Koskinen, S Kucherenko, P Kupiainen, Paul Mariner, B Pastina, E Plischke, K-J Rohlig, Stephen David Sevougian, S Spiessl, Emily Stein, Laura Painton Swiler, E Weetjens https://www.osti.gov/search/identifier:1642988	Conference Paper – 2019 Conference Paper	2019
Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010 Paul Mariner, Laura A. Connolly, Leigh Cunningham, Bert Debusschere, David Charles Dobson, Jennifer M Frederick, Glenn Edward Hammond, Spencer Holloran Jordan, Tara LaForce, Michael Anthony Nole, Heeho Daniel Park, Frank Vinton Perry, Ralph David Rogers, Daniel Thomas Seidl, Stephen David Sevougian, Emily Stein, Peter N. Swift, Laura Painton Swiler, Jonathan Vo, Michael Gary Wallace https://www.osti.gov/search/identifier:1570094	Report – 2019 Report	2019
Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment DECOVALEX 2019 Symposium Paul Mariner, Laura Painton Swiler, Daniel Thomas Seidl, Jonathan Vo https://www.osti.gov/search/identifier:1640670	Conference Paper – 2019 Conference Paper	2019
Document Title	Type	Year

Results 1–25 of 35

Publications

Discrete fracture network modeling and uncertainty analysis in Geologic Disposal Safety Assessment Framework

Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository

Advanced Use Of Tracers In Repository Performance Assessment Modeling

Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository

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

Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository

Sensitivity and uncertainty analysis of FMD model choice for a generic crystalline repository

Advanced Use of Tracers in Repository Performance Assessment Modeling

GDSA Framework Development and Process Model Integration FY2021

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

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

Machine Learning Surrogates for the Fuel Matrix Degradation Model

Repository Performance Metrics and Other Quantities of Interest

Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment

Advances in Uncertainty and Sensitivity Analysis Methods and Applications in GDSA Framework

Surrogate Model Development of Spent Fuel Degradation for Repository Performance Assessment

Advances in GDSA Framework Development and Process Model Integration

Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment

Surrogate Modeling of Spatially Heterogeneous Source Terms for Probabilistic Assessment of Repository Performance

Surrogate Modeling of Spatially Heterogeneous Source Terms for Probabilistic Assessment of Repository Performance

Status Report on Uncertainty Quantification and Sensitivity Analysis Tools in the Geologic Disposal Safety Assessment (GDSA) Framework

Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment

A Joint Exercise on Sensitivity Analysis in Repository Performance Assessment

Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010

Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment