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Publication	Type	Year
Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere	Conference Presentation – 2022 Conference Presentation	2022
Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Jamie Thorpe, Laura Painton Swiler, Thomas D. Tarman, Seth Terence Hanson, Gerardo Cruz, Bert Debusschere, Trevor Rollins	Conference Paper – 2022 Conference Paper	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
Uncertainty Quantification within SECURE LDRD CIS Research Foundation External Review Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey Glatter, Emma Savannah Johnson, She?ifa Punla-Green	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	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
WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics Cyber-Physical Systems Virtual Organization Hot Topics in the Science of Security (HoTSoS) Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere	Conference Presentation – 2022 Conference Presentation	2022
WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics Cyber-Physical Systems Virtual Organization Hot Topics in the Science of Security (HoTSoS) Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere	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
Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, She?ifa Punla-Green https://www.osti.gov/search/identifier:1821322	SAND Report – 2021 SAND Report	2021
Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, and She?ifa Punla-Green https://www.osti.gov/search/identifier:1820527	Report – 2021 Report	2021
Multifidelity UQ sampling for Stochastic Simulations 16th US National Congress on Computational Mechanics Gianluca Geraci, Laura Painton Swiler, Bert Debusschere	Conference Presentation – 2021 Conference Presentation	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
Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments SIAM Computational Science and Engineering Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler https://www.osti.gov/search/identifier:1847628	Conference Presentation – 2021 Conference Presentation	2021
Multifidelity UQ sampling for stochastic simulations 16th U.S. National Congress on Computational Mechanics Gianluca Geraci, Laura Painton Swiler, Bert Debusschere	Abstract – 2021 Abstract	2021
Exploration of multifidelity UQ sampling strategies for computer network applications International Journal for Uncertainty Quantification Gianluca Geraci, Jonathan Crussell, Laura Painton Swiler, Bert Debusschere https://www.osti.gov/search/identifier:1765751	Journal Article – 2021 Journal Article	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
Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments Siam Conference on Computational Science and Engineering Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler	Abstract – 2020 Abstract	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
Characterization of Partially Observed Epidemics - Application to COVID-19 Cosmin Safta, Jaideep Ray, Erin Acquesta, Thomas Anthony Catanach, Kamaljit Singh Chowdhary, Bert Debusschere, Edgar Galvan, Gianluca Geraci, Mohammad Khalil, Teresa Portone https://www.osti.gov/search/identifier:1763554	SAND Report – 2020 SAND Report	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
Document Title	Type	Year

Results 1–25 of 95

Publications

Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics

Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics

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

Uncertainty Quantification within SECURE LDRD

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

WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics

WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics

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

Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report

Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK

Multifidelity UQ sampling for Stochastic Simulations

Machine Learning Surrogates for the Fuel Matrix Degradation Model

Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment

Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments

Multifidelity UQ sampling for stochastic simulations

Exploration of multifidelity UQ sampling strategies for computer network applications

Surrogate Model Development of Spent Fuel Degradation for Repository Performance Assessment

Advances in GDSA Framework Development and Process Model Integration

Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments

Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment

Characterization of Partially Observed Epidemics - Application to COVID-19

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