Bert Debusschere
R&D S&E, Mathematics

Background
- Staff Member at Sandia National Laboratories, Livermore, CA
- Post Doctoral Associate at Sandia National Laboratories, Livermore, CA
- University of Wisconsin – Madison, Ph.D. in Mechanical Engineering
- University of Wisconsin – Madison, M.S. in Mechanical Engineering
- Katholieke Universiteit Leuven, Belgium, B.S. in Mechanical Engineering
What Matters to Me
My main research interest and expertise is in enabling predictive simulation in science and engineering, with the goal of effectively using all available knowledge in data, theory, and expert opinion to provide more confidence in answers to relevant questions in complex systems. This encompasses uncertainty quantification, Bayesian methods for parameter estimation and model selection, resilient computing, as well as stochastic multiscale coupling methods, applied to systems ranging from atomistic flow simulations, and human immune system signaling pathways, to continuum microfluidics, cyber security, quantum computing, high performance computing, and up the scale to climate models.
Besides my technical interests, I care tremendously about Equity, Diversity, and Inclusion (EDI) in our society in general, and in the scientific community in particular. I am engaged in many efforts to provide equity in the opportunities available to anyone regardless of their race, gender, sexual orientation, or other identities. The goal is for everyone to be able to achieve their full human performance and feel empowered and welcomed to bring their best creative selves to work.
Noteworthy Tidbits
- 2014 SNL Employee Recognition Award for Individual Exceptional Service
- 2007 Presidential Early Career Award for Scientists and Engineers. "For innovative research at the frontiers of science and technology, and for exceptional potential to shape the future through intellectual and inspired leadership."
- 2007 DOE Office of Science Early Career Scientist and Engineer Award. "For introducing rigorous, mathematical methods capturing stochastic uncertainties in computational biology and providing a framework for simulation-based discovery; and for service to the Sandia Diversity Council and Foreign National Networking Group."
- Lead developer of the UQTk open source C++/Python toolkit for uncertainty quantification.
- Member of the SciDAC FASTMath Institute
- Part of the design and facilitator team for Vision 2020, the Sandia Division 8000 Diversity and Inclusion Strategic Planning Effort
- Co-lead of the iDAPT (inclusion, Diversity, And Personal Transformation) discussion group, which facilitated in-depth conversations about how various forms of oppression in society affect our communities. (2012 – 2016)
- Co-founded (2002) and chaired (2005-2006) the Foreign National Networking Group
Publications
Bert Debusschere, Daniel Thomas Seidl, Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository DOE Computational Research Leadership Council Seminar Series Document ID: 1677106
Bert Debusschere, Daniel Thomas Seidl, Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository International High Level Radioactive Waste Management Workshop Document ID: 1675929
Paul Mariner, Bert Debusschere, David Erik Fukuyama, Jacob Harvey, Tara LaForce, Rosemary Claire Leone, Frank Vinton Perry, Laura Painton Swiler, ANNA Maria TACONI, (2022). GDSA Framework Development and Process Model Integration FY2022 https://www.osti.gov/search/identifier:1893995 Document ID: 1652515
Bert Debusschere, Caitlin Jean Curry, Jacob Harvey, Daniel Thomas Seidl, Paul Mariner, (2022). Machine Learning Surrogates for Time Dependent Fuel Degradation Processes in Nuclear Waste Repository Simulations SIAM Computational Science and Engineering Document ID: 1641578
Christopher Bennett, Tianyao Xiao, Samuel Liu, Leonard Humphrey, JeanAnne Incorvia, Bert Debusschere, Daniel Ries, Sapan Agarwal, (2022). Probabilistic Nanomagnetic Memories for Uncertain and Robust Machine Learning https://www.osti.gov/search/identifier:1891190 Document ID: 1640788
Tianyao Xiao, Ryan Anthony Dellana, Ethan Ancell, Christopher Bennett, Bert Debusschere, Sapan Agarwal, (2022). Hardware accelerated uncertainty quantification using analog neural networks https://www.osti.gov/search/identifier:1889373 Document ID: 1640981
Bert Debusschere, Daniel Thomas Seidl, Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository International High-Level Radioactive Waste Management Conference Document ID: 1606252
Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere, (2022). Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Document ID: 1585192
Bert Debusschere, Caitlin Jean Curry, Luke David Boll, Khachik Sargsyan, Cosmin Safta, (2022). The UQTk C++/Python Toolkit for Uncertainty Quantification: Overview and Applications CSRI Summer Presentation Series Document ID: 1573429
Jamie Thorpe, Laura Painton Swiler, Thomas D. Tarman, Seth Terence Hanson, Gerardo Cruz, Bert Debusschere, Trevor Rollins, (2022). Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Document ID: 1562880
Bert Debusschere, Daniel Thomas Seidl, Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository International High-Level Radioactive Waste Management Conference Document ID: 1551402
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, (2022). Uncertainty Quantification within SECURE LDRD CIS Research Foundation External Review Document ID: 1551270
Bert Debusschere, Timothy M. Berg, Daniel Thomas Seidl, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository DOE Computational Research Leadership Council (CRLC) Seminar Series Document ID: 1540286
Luke David Boll, Katherine Johnston, Khachik Sargsyan, Cosmin Safta, Bert Debusschere, (2022). The UQTk C++/Python Toolkit for Uncertainty Quantification: Overview and Applications Siam Uq 2022 Document ID: 1505434
Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosie Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Tim Berg, (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 Document ID: 1494220
Bert Debusschere, Timothy M. Berg, Daniel Thomas Seidl, Kyung Won Chang, Rosemary Claire Leone, Laura Painton Swiler, Paul Mariner, (2022). Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository 2022 International High Level Radioactive Waste Management Conference Document ID: 1493003
Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere, (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) Document ID: 1493103
Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere, (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) Document ID: 1471258
Samuel Liu, Tianyao Xiao, Sapan Agarwal, Bert Debusschere, Christopher Bennett, Jean Anne Incorvia, (2022). Domain wall-magnetic tunnel junction synapses for Bayesian neural networks UT Austin Sandia Day 2022 Document ID: 1481431
Khachik Sargsyan, Cosmin Safta, Luke David Boll, Katherine Johnston, Mohammad Khalil, Kamaljit Singh Chowdhary, Prashant Rai, Tiernan Albert Casey, Xiaoshu Zeng, Bert Debusschere, (2022). UQTk Version 3.1.2 User Manual https://www.osti.gov/search/identifier:1855040 Document ID: 1427014
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, (2021). GDSA Framework Development and Process Model Integration FY2021 https://www.osti.gov/search/identifier:1825056 Document ID: 1368725
Laura Painton Swiler, Teresa Portone, Paul Mariner, Rosemary Claire Leone, Dusty Marie Brooks, Daniel Thomas Seidl, Bert Debusschere, Timothy M. Berg, (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) Document ID: 1369039
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, (2021). Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report https://www.osti.gov/search/identifier:1821322 Document ID: 1367498
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, (2021). Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK https://www.osti.gov/search/identifier:1820527 Document ID: 1357032
Gianluca Geraci, Laura Painton Swiler, Bert Debusschere, (2021). Multifidelity UQ sampling for Stochastic Simulations 16th US National Congress on Computational Mechanics Document ID: 1332274
Luke David Boll, Katherine Johnston, Anthony H. McDaniel, Ellen Stechel, Bert Debusschere, (2021). Inference of Hydrogen RedOx Reactions Models using Bayesian Compressive Sensing Virtual Intern Symposium (CA) Document ID: 1331818
Timothy M. Berg, Paul Mariner, Bert Debusschere, Daniel Thomas Seidl, Rosemary Claire Leone, Kyung Won Chang, (2021). Machine Learning Surrogates for the Fuel Matrix Degradation Model Spent Fuel and Waste Science and Technology (SFWST) https://www.osti.gov/search/identifier:1869760 Document ID: 1307394
Khachik Sargsyan, Cosmin Safta, Katherine Johnston, Mohammad Khalil, Kamaljit Singh Chowdhary, Prashant Rai, Tiernan Albert Casey, Luke David Boll, Xiaoshu Zeng, Bert Debusschere, (2021). UQTk Version 3.1.1 User Manual https://www.osti.gov/search/identifier:1777090 Document ID: 1292340
Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Daniel Thomas Seidl, Paul Mariner, Bert Debusschere, (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) https://www.osti.gov/search/identifier:1854307 Document ID: 1280276
Katherine Johnston, Bert Debusschere, Ellen Stechel, (2021). Bayesian Model Selection for Thermodynamic Models of Redox Active Metal Oxides Siam – Cse https://www.osti.gov/search/identifier:1853871 Document ID: 1279741
Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler, (2021). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments SIAM Computational Science and Engineering https://www.osti.gov/search/identifier:1847628 Document ID: 1279399
Gianluca Geraci, Laura Painton Swiler, Bert Debusschere, (2021). Multifidelity UQ sampling for stochastic simulations 16th U.S. National Congress on Computational Mechanics Document ID: 1267959
Gianluca Geraci, Jonathan Crussell, Laura Painton Swiler, Bert Debusschere, (2021). Exploration of multifidelity UQ sampling strategies for computer network applications International Journal for Uncertainty Quantification https://www.osti.gov/search/identifier:1765751 Document ID: 1267517
Paul Mariner, Timothy M. Berg, Kyung Won Chang, Bert Debusschere, Rosemary Claire Leone, Daniel Thomas Seidl, (2020). Surrogate Model Development of Spent Fuel Degradation for Repository Performance Assessment https://www.osti.gov/search/identifier:1673178 Document ID: 1208697
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, (2020). Advances in GDSA Framework Development and Process Model Integration https://www.osti.gov/search/identifier:1671380 Document ID: 1208725
Katherine Johnston, Bert Debusschere, Ellen Stechel, (2020). Bayesian Model Selection for Thermodynamic Models of Redox Active Metal Oxides SIAM Computational Science and Engineering Conference Document ID: 1207557
Bert Debusschere, Gianluca Geraci, John Davis Jakeman, Cosmin Safta, Laura Painton Swiler, (2020). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments Siam Conference on Computational Science and Engineering Document ID: 1207574
Timothy M. Berg, Kyung Won Chang, Rosemary Claire Leone, Daniel Thomas Seidl, Paul Mariner, Bert Debusschere, (2020). Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment SIAM Conference on Computational Science and Engineering (CSE21) Document ID: 1197226
Katherine Johnston, Luke David Boll, Khachik Sargsyan, Cosmin Safta, Bert Debusschere, (2020). UQTk, A C++/Python Toolkit for Uncertainty Quantification: Overview and Applications Alphabet Inc Modeling and Insights Seminar Series https://www.osti.gov/search/identifier:1820270 Document ID: 1196224
Bert Debusschere, Katherine Johnston, Luke David Boll, Khachik Sargsyan, Cosmin Safta, (2020). UQTk, a C++/Python Toolkit for Uncertainty Quantification: Overview and Applications Invited Talk at Alphabet (Google) Document ID: 1195886
Cosmin Safta, Jaideep Ray, Erin Acquesta, Thomas Anthony Catanach, Kamaljit Singh Chowdhary, Bert Debusschere, Edgar Galvan, Gianluca Geraci, Mohammad Khalil, Teresa Portone, (2020). Characterization of Partially Observed Epidemics – Application to COVID-19 https://www.osti.gov/search/identifier:1763554 Document ID: 1140394
Khachik Sargsyan, Cosmin Safta, Katherine Johnston, Mohammad Khalil, Kamaljit Singh Chowdhary, Prashant Rai, Tiernan Albert Casey, Xiaoshu Zeng, Bert Debusschere, (2020). UQTk Version 3.1.0 User Manual https://www.osti.gov/search/identifier:1605051 Document ID: 1103604
Paul Mariner, Bert Debusschere, Glenn Edward Hammond, Daniel Thomas Seidl, Swiler Laura, Jonathon Vo, (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? https://www.osti.gov/search/identifier:1763614 Document ID: 1090413
Paul Mariner, Bert Debusschere, Glenn Edward Hammond, Daniel Thomas Seidl, Laura Swiler, Jonathan Vo, (2019). 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 Document ID: 1066749
Katherine Johnston, Bert Debusschere, Ellen Stechel, (2019). Bayesian Inference Tools in the UQTk UQ Toolkit Siam UQ Document ID: 1056324
Paul Mariner, Bert Debusschere, James Jerden, Daniel Thomas Seidl, Laura Painton Swiler, Jonathan Vo, (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment DECOVALEX 2019 Symposium https://www.osti.gov/search/identifier:1643084 Document ID: 1054987
Laura Painton Swiler, Gianluca Geraci, Bert Debusschere, Jonathan Crussell, (2019). Uncertainty Quantification in Cyber Emulation Informs https://www.osti.gov/search/identifier:1642954 Document ID: 1033435
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, (2019). Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010 https://www.osti.gov/search/identifier:1570094 Document ID: 1032089
Tiernan Albert Casey, Bert Debusschere, (2019). Analysis of Neural Network Combustion Surrogate Models https://www.osti.gov/search/identifier:1569154 Document ID: 1031455
Katherine Johnston, Khachik Sargsyan, Cosmin Safta, Bert Debusschere, (2019). UQTk, a C++/Python Toolkit for Uncertainty Quantification: Overview and Applications SIAM Conference on Uncertainty Quantification Document ID: 1009288
Tiernan Albert Casey, Bert Debusschere, Michael S. Eldred, Gianluca Geraci, Roger Ghanem, John Davis Jakeman, Youssef Marzouk, Habib N. Najm, Cosmin Safta, Khachik Sargsyan, (2019). FASTMath: UQ Algorithms SciDAC PI Meeting 2019 https://www.osti.gov/search/identifier:1641088 Document ID: 985493
Gianluca Geraci, Laura Painton Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration of multifidelity approaches for uncertainty quantification in network applications 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP2019) https://www.osti.gov/search/identifier:1640865 Document ID: 974075
John H. Carpenter, Allen C. Robinson, Bert Debusschere, (2019). Verification of Uncertainty Quantification\\for Equation of State Table 21st Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter (SHOCK19) https://www.osti.gov/search/identifier:1640804 Document ID: 973405
Bert Debusschere, Khachik Sargsyan, Timothy M. Berg, Ojas D. Parekh, (2019). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification Document ID: 935829
Paul Mariner, Daniel Thomas Seidl, Laura Painton Swiler, Bert Debusschere, Jonathan Vo, Jim Jerden, Jennifer M Frederick, (2019). Surrogate Modeling of Fuel Dissolution Spent Fuel and Waste Disposition (SFWD) Annual Working Group Meeting https://www.osti.gov/search/identifier:1648825 Document ID: 971786
Gianluca Geraci, Laura Painton Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration Of Multifidelity Approaches For Uncertainty Quantification In Network Applications 3rd Eccomas Thematic Conference on Uncertainty Quantification in Computational Science and Engineering https://www.osti.gov/search/identifier:1639529 Document ID: 937500
Laura Painton Swiler, Bert Debusschere, Gianluca Geraci, Jonathan Crussell, (2019). SECURE Uncertainty Quantification Thrust External Advisory Board meeting, SECURE Grand Challenge https://www.osti.gov/search/identifier:1644470 Document ID: 936122
Gianluca Geraci, Laura Painton Swiler, Jonathan Crussell, Bert Debusschere, (2019). Exploration of multifidelity UQ strategies for network applications LDRD SECURE Grand Challenge External Advisory Board meeting https://www.osti.gov/search/identifier:1644472 Document ID: 936124
Paul Mariner, Laura Painton Swiler, Daniel Thomas Seidl, Bert Debusschere, Johnathan Vo, Jennifer M Frederick, (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance 2019 International High Level Radioactive Waste Management Conference https://www.osti.gov/search/identifier:1639277 Document ID: 936065
John H. Carpenter, Allen C. Robinson, Bert Debusschere, (2019). Verification of Uncertainty Propagation for Equation of State Tables 21st Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter (SHOCK19) Document ID: 925446
Bert Debusschere, Khachik Sargsyan, Cosmin Safta, (2019). UQTk A Flexible Python/C++ Toolkit for Uncertainty Quantification SIAM Computional Science and Engineering https://www.osti.gov/search/identifier:1602639 Document ID: 935590
Paul Mariner, Laura Painton Swiler, Daniel Thomas Seidl, Bert Debusschere, Johnathan Vo, Jennifer M Frederick, (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance 2019 International High Level Radioactive Waste Management Conference https://www.osti.gov/search/identifier:1602117 Document ID: 924977
Bert Debusschere, (2018). Acknowledging Variability in Scientific Computing Supercomputing 2018Workshop on Computational Reproducibility at Exascale https://www.osti.gov/search/identifier:1576179 Document ID: 889527
Klaus-Jurgen Rohlig, Elmar Plischke, Dirk-Alexander Becker, Emily Stein, Joan Govaerts, Bert Debusschere, Lasse Koskinen, Pekka Kupiainen, Christi D. Leigh, Paul Mariner, Olli Nummi, Barbara Pastina, Stephen David Sevougian, Sabine Spiessl, Laura Painton Swiler, Eef Weetjens, Todd Zeitler, (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach International Group for the Safety Case Symposium https://www.osti.gov/search/identifier:1806880 Document ID: 876077
Klaus-Jurgen Rohlig, Elmar Plischke, Dirk-Alexander Becker, Emily Stein, Joan Govaerts, Bert Debusschere, Lasse Koskinen, Pekka Kupiainen, Christi D. Leigh, Paul Mariner, Olli Nummi, Barbara Pastina, Stephen David Sevougian, Sabine Spiessl, Laura Painton Swiler, Eef Weetjens, Todd Zeitler, (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach IGSC Safety Case Symposium https://www.osti.gov/search/identifier:1568977 Document ID: 865293
Bert Debusschere, Khachik Sargsyan, Ojas D. Parekh, (2018). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification SIAM Annual Meeting 2018 https://www.osti.gov/search/identifier:1806634 Document ID: 830839
Bert Debusschere, Khachik Sargsyan, Cosmin Safta, Prashant Rai, Kamaljit Singh Chowdhary, (2018). UQTk: A Flexible Python/C++ Toolkit for Uncertainty Quantification Siam Uq 2018 https://www.osti.gov/search/identifier:1510846 Document ID: 795205
Habib N. Najm, Bert Debusschere, Neil Sparks, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Zachary Vane, Michael S. Eldred, Gianluca Geraci, O. Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Menhorn, R. Ghanem, P. Tsilifis, (2018). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ? Quaterly DARPA Review https://www.osti.gov/search/identifier:1572447 Document ID: 738214
Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Kamaljit Singh Chowdhary, (2018). UQTk: A C++/Python Uncertainty Quantification Toolkit FASTMath project kickoff meeting https://www.osti.gov/search/identifier:1497545 Document ID: 761382
Bert Debusschere, Khachik Sargsyan, Ojas D. Parekh, (2018). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification SIAM Annual Meeting 2018 Document ID: 750060
Bert Debusschere, Jeremy Alan Templeton, Cosmin Safta, Khachik Sargsyan, Ali Pinar, Habib N. Najm, (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations DOE ASCR Scientific Machine Learning Workshop https://www.osti.gov/search/identifier:1513665 Document ID: 749936
Bert Debusschere, Jeremy Alan Templeton, Cosmin Safta, Khachik Sargsyan, Ali Pinar, Habib N. Najm, (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations Scientific Machine Learning Workshop https://www.osti.gov/search/identifier:1512381 Document ID: 738728
Khachik Sargsyan, Cosmin Safta, Kamaljit Singh Chowdhary, Sarah Castorena, Sarah de Bord, Bert Debusschere, (2017). UQTk Version 3.0.4 User Manual https://www.osti.gov/search/identifier:1813904 Document ID: 703895
Bert Debusschere, Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Cosmin Safta, Habib N. Najm, Omar Knio, Paul Mycek, Andres Contreras, Le Matre Olivier, (2017). Probabilistic Approach to Enable Extreme-Scale Simulations under Uncertainty and System Faults DOE ASCR Applied Math PI Meeting https://www.osti.gov/search/identifier:1470926 Document ID: 671886
Habib N. Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Zachary Vane, Michael S. Eldred, G. Geraci, O. Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Menhorn, R. Ghanem, P. Tsilifis, (2017). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine Quarterly DARPA Review Telecon https://www.osti.gov/search/identifier:1574094 Document ID: 670947
Bert Debusschere, Lorraine E. Sadler, Bonnie R. Antoun, Jeremy Alan Templeton, Tamara G. Kolda, Elebeoba May, (2017). Improved Equity, Diversity, and Inclusion to Sustain an Effective Applied Mathematics Workforce DOE ASCR Applied Math PI meeting https://www.osti.gov/search/identifier:1466495 Document ID: 670454
Bert Debusschere, Ali Pinar, Khachik Sargsyan, Jeremy Alan Templeton, Habib N. Najm, (2017). Predictive Fidelity, Interpretability, and Resilience of Machine Learning Methods Applied to Scientific Simulations DOE ASCR PI meeting https://www.osti.gov/search/identifier:1508933 Document ID: 670361
Bert Debusschere, Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Cosmin Safta, Habib N. Najm, Omar Knio, Paul Mycek, Andres Contreras, Olivier Le Matre, (2017). Probabilistic Approach to Enable Extreme-Scale Simulations under Uncertainty and System Faults DOE ASCR PI meeting Document ID: 659733
Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Kamaljit Singh Chowdhary, (2017). Polynomial Chaos Based Uncertainty Quantification UQ Workshop on Uncertainty Quantification in Reservoirs https://www.osti.gov/search/identifier:1463445 Document ID: 659202
Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Kamaljit Singh Chowdhary, (2017). Polynomial Chaos Based Uncertainty Quantification UQ Workshop on Uncertainty Quantification in Reservoirs https://www.osti.gov/search/identifier:1513464 Document ID: 659203
Karla Vanessa Morris, Francesco NMN Rizzi, Brandon (LBNL) Cook, Katryn (SNL) Dahlgren, Khachik Sargsyan, Paul (Duke) Mycek, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2017). A Resilient ULFM-based PDE Solver: Performance Scaling and Energy Analysis Pasc17 https://www.osti.gov/search/identifier:1523560 Document ID: 626474
Francesco NMN Rizzi, Karla Vanessa Morris, Brandon (LBNL) Cook, Kathryn (SNL) Dahlgren, Khachik Sargsyan, Paul (Duke) Mycek, Olivier (LIMSI) LeMaitre, Omar (Duke) Knio, Bert Debusschere, (2017). Scaling and Energy Analysis for a Resilient ULFM-Based PDE Solver Pasc17 https://www.osti.gov/search/identifier:1476821 Document ID: 626479
John H. Carpenter, Allen C. Robinson, Bert Debusschere, (2017). Incorporating Data Uncertainty into Equation of State Tables 2017 DOE/NNSA EOS Workshop https://www.osti.gov/search/identifier:1458122 Document ID: 625312
Khachik Sargsyan, Cosmin Safta, Kamaljit Singh Chowdhary, Sarah Castorena, Sarah de Bord, Bert Debusschere, (2017). UQTk Version 3.0.3 User Manual https://www.osti.gov/search/identifier:1367452 Document ID: 625391
Karla Vanessa Morris, Francesco NMN Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Bert Debusschere, Brandon Cook, Paul Mycek, Olivier Le Matre, Omar Knio, (2017). Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver Highlight slide for DOE/ASCR to go with accepted conference paper https://www.osti.gov/search/identifier:1458040 Document ID: 625006
Bert Debusschere, (2017). Building a Partial Differential Equations Solver that is Resilient to Soft and Hard Faults Invited Lecture at the University of Houston, TX https://www.osti.gov/search/identifier:1458031 Document ID: 624889
Bert Debusschere, (2017). Bayesian Calibration: An introductory tutorial Tutorial at University of Houston, TX https://www.osti.gov/search/identifier:1524281 Document ID: 624890
John H. Carpenter, Allen C. Robinson, Bert Debusschere, (2017). Incorportating Data Uncertainty into Equation of State Tables 2017 DOE/NNSA-EOS Workshop, LLE, University of Rochester Document ID: 623423
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul Mycek, Andres Contreras, Cosmin Safta, Olivier Le Matre, Omar Knio, Bert Debusschere, (2017). Partial Differential Equations Solver Resilient to Soft and Hard Faults SIAM Computational Science and Engineering 2017 https://www.osti.gov/search/identifier:1424869 Document ID: 599631
Bert Debusschere, (2017). Uncertainty Quantification Toolkit HydroGEN Theory Nodes Meeting https://www.osti.gov/search/identifier:1458261 Document ID: 589269
Khachik Sargsyan, Cosmin Safta, Habib N. Najm, Bert Debusschere, Dan (ORNL) Ricciuto, Peter (ORNL) Thornton, (2016). Weighted Iterative Bayesian Compressive Sensing (WIBCS) for High Dimensional Polynomial Surrogate Construction American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1576186 Document ID: 565642
Francesco NMN Rizzi, Karla Vanessa Morris, B. (LBNL) Cook, Khachik Sargsyan, Paul (Duke) Mycek, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Kathryn (SNL) Dahlgren, Bert Debusschere, (2016). Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver ScalA16Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems https://www.osti.gov/search/identifier:1408949 Document ID: 553862
Habib N. Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Guilhem Martial Louis Lacaze, Zachary Phillips Vane, Michael S. Eldred, Gianluca Geraci, Omar Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Menhorn, R. Ghanem, P. Tsilifis, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ? Army-Navy-NASA-Air Force (JANNAF) meeting https://www.osti.gov/search/identifier:1420843 Document ID: 553650
Habib N. Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Guilhem Martial Louis Lacaze, Zachary Phillips Vane, Michael S. Eldred, G. Geraci, O. Knio, I. Sraj, G. Scovazzi, O. Colomes, Y. Marzouk, O. Zahm, F. Augustin, F. Menhorn, R. Ghanem, P. Tsilifis, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine Annual DARPA Review https://www.osti.gov/search/identifier:1397105 Document ID: 530593
Khachik Sargsyan, Cosmin Safta, Kamaljit Singh Chowdhary, Sarah Castorena, Sarah de Bord, Bert Debusschere, (2016). UQTk Version 3.0 User Manual https://www.osti.gov/search/identifier:1562399 Document ID: 530107
John H. Carpenter, Bert Debusschere, Allen C. Robinson, (2016). Integrated Material Models for Equation of State and Transport Properties for Aluminum Supporting Uncertainty Quantification FY16 ASC P&EM Reporting https://www.osti.gov/search/identifier:1527265 Document ID: 529193
Sarah Marie Castorena, Bert Debusschere, (2016). Why Are Dual Pane Windows Better? Intern Symposium https://www.osti.gov/search/identifier:1373065 Document ID: 476732
Kathryn Marie Dahlgren, Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2016). Rexsss Parallel Distributed PDE Solver Sensitivity Analysis Symposium https://www.osti.gov/search/identifier:1373062 Document ID: 476638
Kathryn Marie Dahlgren, Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2016). Rexsss Parallel Distributed PDE Solver Sensitivity Analysis Symposium https://www.osti.gov/search/identifier:1373063 Document ID: 476639
Karla Vanessa Morris, Francesco NMN Rizzi, Khachik Sargsyan, Kathryn (UCSC) Dahlgren, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults ISC High Performance https://www.osti.gov/search/identifier:1371819 Document ID: 475683
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, (2016). Accounting for Data Uncertainty in Making and Using an EOS EventJOWOG32Mat EOS Workshop  https://www.osti.gov/search/identifier:1369601 Document ID: 475902
Karla Vanessa Morris, Francesco NMN Rizzi, Khachik Sargsyan, Kathryn (UCSC) Dahlgren, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults ISC High Performance https://www.osti.gov/search/identifier:1530020 Document ID: 464772
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner Ftxs16 https://www.osti.gov/search/identifier:1422088 Document ID: 443439
Karla Vanessa Morris, Francesco NMN Rizzi, Khachik Sargsyan, Kathryn (UCSC) Dahlgren, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults ISC High Performance https://www.osti.gov/search/identifier:1367121 Document ID: 442734
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner Fault Tolerance for HPC at eXtreme Scale (FTXS) Workshop https://www.osti.gov/search/identifier:1366993 Document ID: 442733
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner https://www.osti.gov/search/identifier:1561476 Document ID: 442735
Karla Vanessa Morris, Francesco NMN Rizzi, Khachik Sargsyan, Kathryn (UCSC) Dahlgren, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults https://www.osti.gov/search/identifier:1561477 Document ID: 442736
Karla Vanessa Morris, Francesco NMN Rizzi, Khachik Sargsyan, Paul Duke Mycek, Cosmin Safta, Olivier (Duke) LeMaitre, Omar (Duke) Knio, Bert Debusschere, (2016). ULFM-MPI Implementation of a Resilient Task-Based Preconditioner for 2D Uncertain Elliptic PDEs Siam Uq-2016 https://www.osti.gov/search/identifier:1365075 Document ID: 431093
Bert Debusschere, Khachik Sargsyan, Cosmin Safta, Kamaljit Singh Chowdhary, (2016). UQTk: A C++/Python Toolkit for Uncertainty Quantification Siam Uq 2016 https://www.osti.gov/search/identifier:1530503 Document ID: 431043
Khachik Sargsyan, Dan (ORNL) Ricciuto, Peter (ORNL) Thornton, Cosmin Safta, Bert Debusschere, Habib N. Najm, (2016). Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1366666 Document ID: 430975
Cosmin Safta, Kamaljit Singh Chowdhary, Khachik Sargsyan, Bert Debusschere, (2016). Implementation of UQ Workflows with the C++/Python UQTk Toolkit Siam Uq 2016 https://www.osti.gov/search/identifier:1618229 Document ID: 430710
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Quantifying Performance of a Resilient Elliptic PDE Solver on Uncertain Architectures using SST/macro Siam Pp16 https://www.osti.gov/search/identifier:1530654 Document ID: 430826
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). A Soft and Hard Faults Resilient Solver for 2D Elliptic PDEs via Server-Client Implementation Siam Pp2016 https://www.osti.gov/search/identifier:1618235 Document ID: 430827
Habib N. Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Joseph Oefelein, Guilhem Martial Louis Lacaze, Michael S. Eldred, Omar Knio, G. Scovazzi, Y. Marzouk, R. Ghanem, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine Stanford University https://www.osti.gov/search/identifier:1530652 Document ID: 341908
Kamaljit Singh Chowdhary, Bert Debusschere, (2016). Sensitivity of cloud fraction using Bayesian compressed sensing American Geophysical Union https://www.osti.gov/search/identifier:1364806 Document ID: 219541
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Exploring the Interplay of Resilience and Energy Consumption for a Task-Based Partial Differential Equations Preconditioner https://www.osti.gov/search/identifier:1561016 Document ID: 398400
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Cosmin Safta, Paul (Duke) Mycek, Olivier (LIMSI) Le Maitre, Omar (Duke) Knio, Bert Debusschere, (2016). Interplay of Resilience and Energy Consumption for a Task-Based Partial Differential Equations Preconditioner PP4REE 2016 – Workshop on Parallel Programming for Resilience and Energy Efficiency https://www.osti.gov/search/identifier:1346895 Document ID: 409421
Bert Debusschere, Habib N. Najm, Khachik Sargsyan, Kamaljit Singh Chowdhary, Don Lucas, Vera Bulaevskaya, Yun Qian, Steve Ghan, Daniele Rosa, Bill Collins, (2016). Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error Advancing X-cutting Ideas for Computational Climate Science https://www.osti.gov/search/identifier:1239394 Document ID: 387176
Khachik Sargsyan, Cosmin Safta, Habib N. Najm, Bert Debusschere, Dan (ORNL) Ricciuto, Peter (ORNL) Thornton, (2015). Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing American Geophysical Union Fall Meeting https://www.osti.gov/search/identifier:1335739 Document ID: 365599
Francesco NMN Rizzi, Omar Knio (Duke), Reese E. Jones, Helgi Adalsteisson (Sandia), Habib N. Najm, Khachik Sargsyan, Maher Salloum, Cosmin Safta, Bert Debusschere, (2015). UQ in Molecular Dynamics Simulations: Forward and Inverse Problem Sensitivity, Error and Uncertainty Quantification for Atomic, Plasma, and Material Data https://www.osti.gov/search/identifier:1335540 Document ID: 365445
Bert Debusschere, Habib N. Najm, Khachik Sargsyan, Kamaljit Singh Chowdhary, Don (LLNL) Lucas, Vera (LLNL) Bulaevskaya, Yun (PNNL) Qian, Steve (PNNL) Ghan, Daniele (LBL) Rosa, William (LBL) Collins, (2015). Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error Advancing X-cutting Ideas for Computational Climate Science https://www.osti.gov/search/identifier:1338030 Document ID: 365253
Bert Debusschere, (2015). Intrusive Polynomial Chaos Methods for Forward Uncertainty Propagation Handbook for Uncertainty Quantification https://www.osti.gov/search/identifier:1474821 Document ID: 343292
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, (2015). Automated Generation of Tabular Equations of State with Uncertainty Information JOWOG32Mat meeting https://www.osti.gov/search/identifier:1334928 Document ID: 342724
Bert Debusschere, Khachik Sargsyan, Cosmin Safta, Kamaljit Singh Chowdhary, (2015). The Uncertainty Quantification Toolkit (UQTk) Handbook of Uncertainty Quantification https://www.osti.gov/search/identifier:1234310 Document ID: 342690
Khachik Sargsyan, Cosmin Safta, Kamaljit Singh Chowdhary, Bert Debusschere, (2015). Uqtk: a C++/Python Toolkit for Uncertainty Quantification Siam Uq 2016 Document ID: 342691
Bert Debusschere, Karla Vanessa Morris, Eric T. Phipps, (2015). Intrusive and Hybrid Intrusive UQ Approaches for Extreme Scale Computing Siam Uq 2016 Document ID: 342693
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, (2015). Building and Using Tabular Equations of State with Uncertainty Information 2015 Nuclear Explosives Design Physics Conference (NEDPC) https://www.osti.gov/search/identifier:1328402 Document ID: 342438
Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2015). Enabling Resilience via Asynchronous Server-Client Implementation The 2015 International Workshop on Software Engineering for High Performance Computing in Science https://www.osti.gov/search/identifier:1321812 Document ID: 221469
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul Mycek (Duke), Cosmin Safta, Olivier LeMaitre (LIMSI), Omar Knio (Duke), Bert Debusschere, (2015). Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults IEEE cluster 2015 – FTS 15 https://www.osti.gov/search/identifier:1326777 Document ID: 320641
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) LeMaitre, Omar (DUke) Knio, Habib N. Najm, Bert Debusschere, (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults Hpdc15 https://www.osti.gov/search/identifier:1326569 Document ID: 220348
Allen C. Robinson, John H. Carpenter, Bert Debusschere, (2015). A UQ Enabled Aluminum Tabular Multiphase Equation-of-State Model MultiMat 2015 https://www.osti.gov/search/identifier:1327463 Document ID: 320222
Bert Debusschere, John Davis Jakeman, Kamaljit Singh Chowdhary, Cosmin Safta, Khachik Sargsyan, P. Rai, R. Ghanem, O. Knio, O. La Maitre, J. Winokur, G. Li, O. Ghattas, R. Moser, C. Simmons, A. Alexanderian, J. Gattiker, D. Higdon, E. Lawrence, S. Bhat, Y. Marzouk, D. Bigoni, T. Cui, M. Parno, (2015). Quantification of Uncertainty in Extreme Scale Computations 2015 SciDAC-3 PI Meeting https://www.osti.gov/search/identifier:1328212 Document ID: 318585
Jonathan Maclin Squibb, Bert Debusschere, Francesco NMN Rizzi, Karla Vanessa Morris, (2015). Profiling Rexsss Performance Using TAU Intern Symposium https://www.osti.gov/search/identifier:1339313 Document ID: 318595
Sarah Irene de Bord, Bert Debusschere, Khachik Sargsyan, (2015). Performance of Numerical Integration Methods for High-Dimensional Functions SNL Student Intern Symposium https://www.osti.gov/search/identifier:1340032 Document ID: 318489
Kathryn Marie Dahlgren, Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2015). Rexsss PDE Solver Performance Analysis: Scalability Estimates Using the SST/macro Architecture Simulator Intern Symposium 2015 https://www.osti.gov/search/identifier:1331542 Document ID: 318497
Kathryn Marie Dahlgren, Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2015). Rexsss Scalability With SST/macro: Analyzing the Performance of a Distributed Fault-Resilient Software Package Intern Symposium 2015 https://www.osti.gov/search/identifier:1340116 Document ID: 318499
Michael S. Eldred, Bert Debusschere, Kamaljit Singh Chowdhary, John Davis Jakeman, Prashant Rai, Cosmin Safta, Khachik Sargsyan, (2015). Sandia Software Enabling Extreme-Scale Uncertainty Quantification 2015 SciDAC PI Meeting https://www.osti.gov/search/identifier:1266821 Document ID: 308277
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, (2015). Building and Using Tabular Equations of State with Uncertainty Information 2015 Nuclear Explosives Design Physics Conference Document ID: 308032
Allen C. Robinson, Thomas Mattsson, Luke Nathan Shulenburger, John H. Carpenter, Bert Debusschere, (2015). Sandia Equation of State (EOS) Deep Dive PEM Days https://www.osti.gov/search/identifier:1260525 Document ID: 307368
Khachik Sargsyan, Khachik Sargsyan, Cosmin Safta, Cosmin Safta, Bert Debusschere, Bert Debusschere, Habib N. Najm, Habib N. Najm, Francesco NMN Rizzi, Francesco NMN Rizzi, Karla Vanessa Morris, Karla Vanessa Morris, Paul Mycek (Duke University), Paul Mycek (Duke University), Olivier Le Maitre (LIMSI), Olivier Le Maitre (LIMSI), Omar Knio (Duke University), Omar Knio (Duke University), (2015). Fault Resilient Domain Decomposition Preconditioner for PDEs https://www.osti.gov/search/identifier:1494624 Document ID: 286886
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, (2015). Automated Generation of Tabular Equations of State with Uncertainty Information 19th Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter https://www.osti.gov/search/identifier:1257683 Document ID: 286634
Maher Salloum, Khachik Sargsyan, Reese E. Jones, Habib N. Najm, Bert Debusschere, (2015). Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models SIAM Journal on Multiscale Modeling and Simulation https://www.osti.gov/search/identifier:1237659 Document ID: 286837
Maher Salloum, Khachik Sargsyan, Reese E. Jones, Francesco NMN Rizzi, Habib N. Najm, Bert Debusschere, (2015). Quantifying Sampling Noise and Parametric Uncertainty in Coupled Atomistic-Continuum Simulations Uncecomp https://www.osti.gov/search/identifier:1258267 Document ID: 275880
Allen C. Robinson, Bert Debusschere, John H. Carpenter, (2015). Electromagnetic Continuum Mechanics in ALEGRA and Moving toward Uncertainty Quantification in Predictive Design Invited ECM Seminar at Army Research Laboratory https://www.osti.gov/search/identifier:1258165 Document ID: 265312
Allen C. Robinson, John H. Carpenter, Bert Debusschere, (2015). Electromagnetic Continuum Mechanics in ALEGRA and Moving toward Uncertainty Quantification in Predictive Design Invited ECM Seminar at Army Research Laboratory Document ID: 265303
Khachik Sargsyan, Cosmin Safta, Habib N. Najm, Bert Debusschere, Daniel Ricciuto (ORNL), Peter Thornton (ORNL), (2015). High-Dimensional Sparse Surrogate Construction via Bayesian Compressive Sensing Pan-American Congress on Computational Mechanics https://www.osti.gov/search/identifier:1249469 Document ID: 264777
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Cosmin Safta, Paul (duke) Mycek, Olivier (duke) LeMaitre, Habib N. Najm, Omar (duke) Knio, Bert Debusschere, (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults Siam Cse15 https://www.osti.gov/search/identifier:1531275 Document ID: 232523
John H. Carpenter, Allen C. Robinson, Ann Elisabet Wills, Bert Debusschere, (2015). A UQ Enabled Aluminum Tabular Multiphase Equation-of-State Model Numerical Methods for Multi-Material Fluid Flow (MULTIMAT 2015) https://www.osti.gov/search/identifier:1240252 Document ID: 221783
Francesco NMN Rizzi, Karla Vanessa Morris, Khachik Sargsyan, Paul (Duke) Mycek, Cosmin Safta, Olivier (LIMSI) LeMaitre, Omar (DUke) Knio, Habib N. Najm, Bert Debusschere, (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults Hpdc15 https://www.osti.gov/search/identifier:1238560 Document ID: 220864
Bert Debusschere, Khachik Sargsyan, (2015). Uncertainty Quantification – Lecture 2 UQ Lecture to be posted online https://www.osti.gov/search/identifier:1237887 Document ID: 220758
Bert Debusschere, Khachik Sargsyan, (2015). Uncertainty Quantification – Lecture 3 UQ Lecture to be posted online https://www.osti.gov/search/identifier:1531267 Document ID: 220759
Bert Debusschere, Khachik Sargsyan, (2015). Uncertainty Quantification – Lecture 4 UQ Lecture to be posted online Document ID: 220761
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, (2015). Automated Generation of Tabular Equations of State with Uncertainty Information 19th Biennial APS Conference on Shock Compression of Condensed Matter Document ID: 220536
Maher Salloum, Khachik Sargsyan, Reese E. Jones, Francesco NMN Rizzi, Habib N. Najm, Bert Debusschere, (2014). Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models Uncecomp 2015 https://www.osti.gov/search/identifier:1315570 Document ID: 219664
Khachik Sargsyan, Habib N. Najm, Cosmin Safta, Bert Debusschere, D ricciuto, P Thornton, (2014). Parameter Estimation in High-Dimensional Climate Models AGU Fall Meeting https://www.osti.gov/search/identifier:1504061 Document ID: 219411
Bert Debusschere, John H. Carpenter, Allen C. Robinson, Ann Elisabet Wills, (2014). Representation and Propagation of Uncertainty in Equations of State for Shock Hydrodynamics First Rensselaer Workshop on Materials Stochasticity https://www.osti.gov/search/identifier:1315579 Document ID: 187242
Maher Salloum, Khachik Sargsyan, Reese E. Jones, Habib N. Najm, Bert Debusschere, (2014). Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models SIAM multiscale modeling and simulation https://www.osti.gov/search/identifier:1184470 Document ID: 166274
John H. Carpenter, Allen C. Robinson, Ann Elisabet Wills, Richard R. Drake, William J. Rider, Bert Debusschere, (2014). Lessons From Uncertainty Propagation Using Tabular, Multiphase Equations of State Necdc 2014 https://www.osti.gov/search/identifier:1241735 Document ID: 166148
Bert Debusschere, John H. Carpenter, Allen C. Robinson, Ann Elisabet Wills, (2014). Representation and Propagation of Uncertainty in Equation of State for Shock Hydrodynamics First Rensselaer Workshop on Stochasticity Document ID: 165938
Kathryn Marie Dahlgren, Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2014). Rexsss Performance Analysis: Domain Decomposition Algorithm Implementations for Resilient Numerical Partial Differential Equation Solvers https://www.osti.gov/search/identifier:1171553 Document ID: 143987
Khachik Sargsyan, Cosmin Safta, Bert Debusschere, Habib N. Najm, Daniel Ricciuto, Peter Thornton, (2014). Parameter Estimation in High-Dimensional Climate Models AGU Fall Meting 2014 Document ID: 143974
Kathryn Marie Dahlgren, Francesco NMN Rizzi, Karla Vanessa Morris, Bert Debusschere, (2014). Rexsss Performance Analysis: Domain Decomposition For PDEs https://www.osti.gov/search/identifier:1494411 Document ID: 142957
Habib N. Najm, Michael S. Eldred, Bert Debusschere, Kamaljit Singh Chowdhary, John Davis Jakeman, Cosmin Safta, Khachik Sargsyan, (2014). An Overview of Select UQ Algorithms and their Utility in Applications https://www.osti.gov/search/identifier:1494413 Document ID: 143239
Michael S. Eldred, Bert Debusschere, Kamaljit Singh Chowdhary, John Davis Jakeman, Habib N. Najm, Cosmin Safta, Khachik Sargsyan, (2014). Sandia Software Enabling Extreme-Scale Uncertainty Quantification https://www.osti.gov/search/identifier:1494264 Document ID: 143017
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Richard R. Drake, Ann Elisabet Wills, William J. Rider, (2014). Lessons From Uncertainty Propagation Using Tabular, Multiphase Equations of State 18th Biennial Nuclear Explosives Code Development Conference (NECDC 2014) Document ID: 132611
Francesco NMN Rizzi, Khachik Sargsyan, Bert Debusschere, Cosmin Safta, Karla Vanessa Morris, Omar Knio, Habib N. Najm, (2014). Towards a Probabilistic Approach to Extreme-Scale Simulations under Uncertainty and System Faults SIAM Exascale Workshop 2014 https://www.osti.gov/search/identifier:1569398 Document ID: 112358
Allen C. Robinson, Richard R. Drake, John H. Carpenter, Ann Elisabet Wills, William J. Rider, Bert Debusschere, (2014). Effective Representation and Propagation of Uncertainty Through Tabular Multiphase Equation-of-State Models 11th World Congress on Computational Mechanics (WCCM XI) – ECCM V- ECFD VI https://www.osti.gov/search/identifier:1496687 Document ID: 112642
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib N. Najm, (2014). Bayesian discontinuity detection and surrogate construction for complex computer models SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1142115 Document ID: 5334760
Cosmin Safta, Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, (2014). Probabilistic Methods for Sensitivity Analysis and Calibration of Computer Models in the NASA Challenge Problem Journal of Aerospace Information Systems https://www.osti.gov/search/identifier:1141704 Document ID: 5334156
Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, (2014). Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis 16th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1140342 Document ID: 5331824
Khachik Sargsyan, Habib N. Najm, Kamaljit Singh Chowdhary, Bert Debusschere, Laura Painton Swiler, Michael S. Eldred, (2013). Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis 16th AIAA Non-Deterministic Approaches Conference https://www.osti.gov/search/identifier:1122619 Document ID: 5331009
Daniel Ricciuto, Peter Thornton, Khachik Sargsyan, Bert Debusschere, Habib N. Najm, (2013). Global Sensitivity Analysis and Parameter Calibration for an Ecosystem Carbon Model AGU 2013 Fall Meeting https://www.osti.gov/search/identifier:1122345 Document ID: 5331010
Gary L Kellogg, Kamaljit Singh Chowdhary, Khachik Sargsyan, Bert Debusschere, (2013). Inference of Chemical Model Parameters given Partial InformationPartial Information MaxEnt2013 https://www.osti.gov/search/identifier:1121920 Document ID: 5330892
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib N. Najm, (2013). Hybrid Discrete/Continuum Algorithms for Stochastic Reaction Networks Journal of Computational Physics https://www.osti.gov/search/identifier:1121280 Document ID: 5330767
Gary L Kellogg, Bert Debusschere, Robert Berry, (2013). Analysis and Reduction of Chemical Models under Uncertainty 4th International Workshop on Model Reduction in Reacting Flows https://www.osti.gov/search/identifier:1095568 Document ID: 5323948
Kamaljit Singh Chowdhary, Bert Debusschere, Vincent Larson, (2013). Quadrature based sampling methods to account for sub-grid microphysics variability https://www.osti.gov/search/identifier:1671979 Document ID: 5327803
Gary L Kellogg, Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Kamaljit Singh Chowdhary, J Jakeman, M Eldred, (2013). QUEST SNL Activities 2nd QUEST Workshop https://www.osti.gov/search/identifier:1115638 Document ID: 5321679
John H. Carpenter, Ann Elisabet Wills, William J. Rider, Bert Debusschere, Allen C. Robinson, Richard R. Drake, (2013). Representation and Propagation of Uncertainty for Tabular Multiphase Equation-of-State Models MultiMat 2013 https://www.osti.gov/search/identifier:1115094 Document ID: 5327090
Jeremiah J Wilke, Khachik Sargsyan, Joseph P. Kenny, Gilbert Hendry, Bert Debusschere, Habib N. Najm, (2013). Presentation: Validating extreme-scale HPC simulation through Bayesian inference uncertainty quantification Europar 2013 https://www.osti.gov/search/identifier:1107500 Document ID: 5326811
Cosmin Safta, Bert Debusschere, Khachik Sargsyan, Habib N. Najm, (2013). Hybrid Discrete – Continuum Algorithms for Stochastic Reaction Networks 2013 Applied Mathematics Principal Investigator Meeting https://www.osti.gov/search/identifier:1106462 Document ID: 5326024
Gary L Kellogg, Bert Debusschere, Kamaljit Singh Chowdhary, R. Moser, V. Carey, (2013). Highlights of QUEST Developments and Partnership Activities SciDAC PI Meeting https://www.osti.gov/search/identifier:1106852 Document ID: 5325614
Katelyn Jarvis, Habib N. Najm, Bert Debusschere, (2013). Monte Carlo Estimation of Moments: Nonlinearity & Dimensionality Sandia Intern Symposium https://www.osti.gov/search/identifier:1297092 Document ID: 5325122
Cosmin Safta, Bert Debusschere, Habib N. Najm, Peter Thornton, Dan Ricciuto, (2013). Surrogate Construction and Dimensionality Reduction via Bayesian Compressive Sensing 12th U.S. National Congress on Computational Mechanics https://www.osti.gov/search/identifier:1106779 Document ID: 5325278
Khachik Sargsyan, Cosmin Safta, Bert Debusschere, Habib N. Najm, (2013). Sparse surrogate model construction via compressive sensing SIAM Annual Meeting https://www.osti.gov/search/identifier:1106053 Document ID: 5324792
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Ann Elisabet Wills, Richard R. Drake, William J. Rider, (2013). An Uncertainty Quantification System for Tabular Equations of State 2013 Joint APS-SCCM/AIRAPT Conference https://www.osti.gov/search/identifier:1106752 Document ID: 5324468
Gary L Kellogg, Kamaljit Singh Chowdhary, Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Robert Berry, (2013). Parameter Estimation with Partial Information Workshop on Numerical Methods for Uncertainty Quantification Hausdorff Research Institute for Mathe https://www.osti.gov/search/identifier:1079802 Document ID: 5322749
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib N. Najm, (2013). DALEC calibration with daily NEE Data at Harvard Forest DOE BER PI meeting https://www.osti.gov/search/identifier:1661144 Document ID: 5322618
Gary L Kellogg, Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Kamaljit Singh Chowdhary, (2013). Parameter Estimation with Missing Data Fourteenth International Conference on https://www.osti.gov/search/identifier:1078649 Document ID: 5321179
John H. Carpenter, Ann Elisabet Wills, William J. Rider, Bert Debusschere, Allen C. Robinson, Richard R. Drake, (2013). Representation and Propagation of Uncertainty for Tabular Multiphase Equation-of-State Models MultiMat 2013 https://www.osti.gov/search/identifier:1145224 Document ID: 5320043
Gary L Kellogg, Bert Debusschere, Robert Berry, (2013). Analysis and Reduction of Chemical Models under Uncertaintyunder Uncertainty Climate Corporation https://www.osti.gov/search/identifier:1145221 Document ID: 5320196
John H. Carpenter, Ann Elisabet Wills, William J. Rider, Bert Debusschere, Allen C. Robinson, Richard R. Drake, (2013). Representation and Propagation of Uncertainty in Multiphase Tabular Equation-of-State Models Predictive Engineering Science Panel (PESP) Review https://www.osti.gov/search/identifier:1657709 Document ID: 5319818
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib N. Najm, (2013). Hybrid Discrete/Continuum Algorithms for Stochastic Reaction NetworksReaction Networks SIAM 2013 Computational Science & Engineering https://www.osti.gov/search/identifier:1145251 Document ID: 5319515
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib N. Najm, Daniel Ricciuto, Peter Thornton, (2013). Dimensionality Reduction and Global Sensitivity Analysis for the Community Land Model The Winter CESM Uncertainty Quantification and Analysis Interest Group Meeting https://www.osti.gov/search/identifier:1063570 Document ID: 5318951
Jeremiah J Wilke, Khachik Sargsyan, Joseph P. Kenny, Gilbert Hendry, Bert Debusschere, Habib N. Najm, (2013). Validating extreme-scale HPC simulation through Bayesian inference uncertainty quantification Europar 2013 https://www.osti.gov/search/identifier:1063301 Document ID: 5318884
Cosmin Safta, Habib N. Najm, Bert Debusschere, (2012). Dimensionality reduction for complex models via Bayesian compressive sensing International Journal for Uncertainty Quantification https://www.osti.gov/search/identifier:1072527 Document ID: 5316982
Khachik Sargsyan, Cosmin Safta, Bert Debusschere, Habib N. Najm, (2012). Project report for Stochastic Dynamical Systems: Analysis of Dynamics and Predictability https://www.osti.gov/search/identifier:1648427 Document ID: 5315206
John H. Carpenter, Allen C. Robinson, William J. Rider, Ann Elisabet Wills, Bert Debusschere, Richard R. Drake, (2012). Uncertainty Quantification system for EOS JOWOG32 EOS Workshop https://www.osti.gov/search/identifier:1116248 Document ID: 5314468
John H. Carpenter, Allen C. Robinson, Bert Debusschere, Richard R. Drake, Ann Elisabet Wills, William J. Rider, (2012). Practical Uncertainty Propagation Through Hydrocodes For Complex Equation of State Models Nuclear Explosive Code Development Conference https://www.osti.gov/search/identifier:1116281 Document ID: 5313663
John H. Carpenter, Ann Elisabet Wills, William J. Rider, Bert Debusschere, Allen C. Robinson, Richard R. Drake, Robert Berry, (2012). Representation And Propagation Of Uncertainty In Equation-of-state Models For Shock Physics Applications INTERNATIONAL WORKSHOP on COMPUTATIONAL MECHANICS of MATERIALS (IWCMM XXII) https://www.osti.gov/search/identifier:1116415 Document ID: 5313367
Gary L Kellogg, Bert Debusschere, Michael S. Eldred, R. Ghanem, Ghattas. O, R. Moser, E Prudencio, D Higdon, J Gattiker, O Kino, Y Marzouk, (2012). Quantification of Uncertainty in Extreme Scale Computations (QUEST)in Extreme Scale Computations (QUEST) SciDAC PI Meeting, https://www.osti.gov/search/identifier:1073262 Document ID: 5312659
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