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Center for Computing Research

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Publication	Type	Year
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
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
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
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
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
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
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
Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification Bert Debusschere, Khachik Sargsyan, Timothy M. Berg, Ojas D. Parekh	SAND Report – 2019 SAND Report	2019
Document Title	Type	Year