Bert Debusschere

R&D S&E, Mathematics

Author profile picture

R&D S&E, Mathematics

bjdebus@sandia.gov

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ORCID

UQ Toolkit

(925) 294-3833

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.

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
  • Co-founded (2002) and chaired (2005-2006) the Foreign National Networking Group

Publications

  • Mariner, P., Debusschere, B., Fukuyama, D., Harvey, J., LaForce, T., Leone, R., Perry, F., Swiler, L., TACONI, A., & TACONI, A. (2022). GDSA Framework Development and Process Model Integration FY2022. https://doi.org/10.2172/1893995 Publication ID: 80378
  • Bennett, C., Xiao, T., Liu, S., Humphrey, L., Incorvia, J., Debusschere, B., Ries, D., Agarwal, S., & Agarwal, S. (2022). Probabilistic Nanomagnetic Memories for Uncertain and Robust Machine Learning. https://doi.org/10.2172/1891190 Publication ID: 80279
  • Sargsyan, K., Safta, C., Boll, L., Johnston, K., Khalil, M., Chowdhary, K., Rai, P., Casey, T., Zeng, X., Debusschere, B., & Debusschere, B. (2022). UQTk Version 3.1.2 User Manual. https://doi.org/10.2172/1855040 Publication ID: 79950
  • Mariner, P., Berg, T., Debusschere, B., Eckert, A., Harvey, J., LaForce, T., Leone, R., Mills, M., Nole, M., Park, H., Perry, &., Seidl, D., Swiler, L., Chang, K.W., & Chang, K.W. (2021). GDSA Framework Development and Process Model Integration FY2021. https://doi.org/10.2172/1825056 Publication ID: 76168
  • Pinar, A., Tarman, T., Swiler, L., Gearhart, J., Hart, D., Vugrin, E., Cruz, G., Arguello, B., Geraci, G., Debusschere, B., Hanson, S., Outkin, A., Thorpe, J., Hart, W., Sahakian, M., Gabert, K., Glatter, C., Johnson, E., Punla-Green, S., & Punla-Green, S. (2021). Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) (Final Report). https://doi.org/10.2172/1821322 Publication ID: 75817
  • Pinar, A., Tarman, T., Swiler, L., Gearhart, J., Hart, D., Vugrin, E., Cruz, G., Arguello, B., Geraci, G., Debusschere, B., Hanson, S., Outkin, A., Thorpe, J., Hart, W., Sahakian, M., Gabert, K., Glatter, C., Johnson, E., Punla-Green, S., & Punla-Green, S. (2021). Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK. https://doi.org/10.2172/1820527 Publication ID: 75697
  • Boll, L., Johnston, K., McDaniel, A., Stechel, E., Debusschere, B., & Debusschere, B. (2021). Inference of Hydrogen RedOx Reactions Models using Bayesian Compressive Sensing [Conference Presenation]. https://doi.org/10.2172/1891955 Publication ID: 79415
  • Geraci, G., Swiler, L., Debusschere, B., & Debusschere, B. (2021). Multifidelity UQ sampling for Stochastic Simulations [Conference Presenation]. https://doi.org/10.2172/1889573 Publication ID: 79490
  • Berg, T., Mariner, P., Debusschere, B., Seidl, D., Leone, R., Chang, K.W., & Chang, K.W. (2021). Machine Learning Surrogates for the Fuel Matrix Degradation Model [Presentation]. https://www.osti.gov/biblio/1869760 Publication ID: 78570
  • Johnston, K., Debusschere, B., Stechel, E., & Stechel, E. (2021). Bayesian Model Selection for Thermodynamic Models of Redox Active Metal Oxides [Conference Presenation]. https://doi.org/10.2172/1853871 Publication ID: 77413
  • Berg, T., Chang, K.W., Leone, R., Seidl, D., Mariner, P., Debusschere, B., & Debusschere, B. (2021). Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment [Conference Presenation]. https://doi.org/10.2172/1854307 Publication ID: 77449
  • Debusschere, B., Geraci, G., Jakeman, J., Safta, C., Swiler, L., & Swiler, L. (2021). Polynomial Chaos Expansions for Discrete Random Variables in Cyber Security Emulytics Experiments [Conference Presenation]. https://doi.org/10.2172/1847628 Publication ID: 77383
  • Geraci, G., Crussell, J., Swiler, L., Debusschere, B., & Debusschere, B. (2021). Exploration of multifidelity UQ sampling strategies for computer network applications. International Journal for Uncertainty Quantification, 11(1), pp. 55-91. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021033774 Publication ID: 76015
  • Johnston, K., Boll, L., Sargsyan, K., Safta, C., Debusschere, B., & Debusschere, B. (2020). UQTk A C++/Python Toolkit for Uncertainty Quantification: Overview and Applications [Presentation]. https://www.osti.gov/biblio/1820270 Publication ID: 74786
  • Mariner, P., Debusschere, B., Hammond, G., Seidl, D., laura, S., Vo , J., & Vo , J. (2020). Surrogate Modeling of Spatially Heterogeneous Source Terms for Probabilistic Assessment of Repository Performance [Conference Poster]. https://www.osti.gov/biblio/1763614 Publication ID: 70908
  • Mariner, P., Debusschere, B., Jerden, J., Seidl, D., Swiler, L., Vo, J., & Vo, J. (2019). Lessons Learned in the Development of Source Term Surrogate Models for Repository Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1643084 Publication ID: 66069
  • Swiler, L., Geraci, G., Debusschere, B., Crussell, J., & Crussell, J. (2019). Uncertainty Quantification in Cyber Emulation [Conference Poster]. https://www.osti.gov/biblio/1642954 Publication ID: 65818
  • Mariner, P., Connolly, L., Cunningham, L., Debusschere, B., Dobson, D., Frederick, J., Hammond, G., Jordan, S., LaForce, T., Nole, M., Park, H., Perry, F., Rogers, R., Seidl, D., Sevougian, S., Stein, E., Swift, P., Swiler, L., Vo, J., Wallace, M., & Wallace, M. (2019). Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010. https://doi.org/10.2172/1570094 Publication ID: 65476
  • Casey, T., Debusschere, B., & Debusschere, B. (2019). Analysis of Neural Network Combustion Surrogate Models. https://doi.org/10.2172/1569154 Publication ID: 65177
  • Casey, T., Debusschere, B., Eldred, M., Geraci, G., Ghanem, R., Jakeman, J., Marzouk, Y., Najm, H.N., Safta, C., Sargsyan, K., & Sargsyan, K. (2019). FASTMath: UQ Algorithms [Conference Poster]. https://www.osti.gov/biblio/1641088 Publication ID: 69621
  • Carpenter, J., Robinson, A., Debusschere, B., & Debusschere, B. (2019). Verification of Uncertainty Quantification\\for Equation of State Table [Conference Poster]. https://www.osti.gov/biblio/1640804 Publication ID: 69196
  • Mariner, P., Seidl, D., Swiler, L., Debusschere, B., Vo, J., Jerden, J., Frederick, J., & Frederick, J. (2019). Surrogate Modeling of Fuel Dissolution [Presentation]. https://www.osti.gov/biblio/1648825 Publication ID: 68682
  • Swiler, L., Debusschere, B., Geraci, G., Crussell, J., & Crussell, J. (2019). SECURE Uncertainty Quantification Thrust [Presentation]. https://www.osti.gov/biblio/1644470 Publication ID: 67345
  • Geraci, G., Swiler, L., Crussell, J., Debusschere, B., & Debusschere, B. (2019). Exploration of multifidelity UQ strategies for network applications [Presentation]. https://www.osti.gov/biblio/1644472 Publication ID: 67348
  • Geraci, G., Swiler, L., Crussell, J., Debusschere, B., & Debusschere, B. (2019). EXPLORATION OF MULTIFIDELITY APPROACHES FOR UNCERTAINTY QUANTIFICATION IN NETWORK APPLICATIONS [Conference Poster]. https://doi.org/10.7712/120219.6352.18797 Publication ID: 67693
  • Mariner, P., Swiler, L., Seidl, D., Debusschere, B., Vo, J., Frederick, J., & Frederick, J. (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance [Conference Poster]. https://www.osti.gov/biblio/1639277 Publication ID: 67301
  • Mariner, P., Swiler, L., Seidl, D., Debusschere, B., Vo, J., Frederick, J., & Frederick, J. (2019). High Fidelity Surrogate Modeling of Fuel Dissolution for Probabilistic Assessment of Repository Performance [Conference Poster]. https://www.osti.gov/biblio/1602117 Publication ID: 67105
  • Debusschere, B., Sargsyan, K., Safta, C., & Safta, C. (2019). UQTk A Flexible Python/C++ Toolkit for Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1602639 Publication ID: 67187
  • Geraci, G., Swiler, L., Crussell, J., Debusschere, B., & Debusschere, B. (2019). Exploration of multifidelity approaches for uncertainty quantification in network applications [Conference Poster]. Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. https://doi.org/10.7712/120219.6352.18797 Publication ID: 69241
  • Debusschere, B. (2018). Acknowledging Variability in Scientific Computing [Conference Poster]. https://www.osti.gov/biblio/1576179 Publication ID: 60330
  • Rohlig, K., Plischke, E., Becker, D., Stein, E., Govaerts, J., Debusschere, B., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P., Nummi, O., Pastina, B., Sevougian, S., Spiessl, S., Swiler, L., Weetjens, E., Zeitler, T., & Zeitler, T. (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach [Conference Poster]. https://www.osti.gov/biblio/1568977 Publication ID: 59195
  • Rohlig, K., Plischke, E., Becker, D., Stein, E., Govaerts, J., Debusschere, B., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P., Nummi, O., Pastina, B., Sevougian, S., Spiessl, S., Swiler, L., Weetjens, E., Zeitler, T., & Zeitler, T. (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach [Conference Poster]. https://www.osti.gov/biblio/1806880 Publication ID: 59289
  • Debusschere, B., Sargsyan, K., Parekh, O., & Parekh, O. (2018). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1806634 Publication ID: 63222
  • Debusschere, B., Sargsyan, K., Safta, C., Rai, P., Chowdhary, K., & Chowdhary, K. (2018). UQTk: A Flexible Python/C++ Toolkit for Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1510846 Publication ID: 61718
  • Debusschere, B., Safta, C., Sargsyan, K., Chowdhary, K., & Chowdhary, K. (2018). UQTk: A C++/Python Uncertainty Quantification Toolkit [Presentation]. https://www.osti.gov/biblio/1497545 Publication ID: 60786
  • Najm, H.N., Debusschere, B., Sparks, N., Sargsyan, K., Huan, X., Oefelein, J., Vane, Z., Eldred, M., Geraci, G., Knio, O., Sraj, I., Scovazzi, G., Colomes, O., Marzouk, Y., Zahm, O., Menhorn, F., Ghanem, R., Tsilifis, P., & Tsilifis, P. (2018). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ? [Conference Poster]. https://www.osti.gov/biblio/1572447 Publication ID: 60908
  • Debusschere, B., Templeton, J.A., Safta, C., Sargsyan, K., Pinar, A., Najm, H.N., & Najm, H.N. (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations [Conference Poster]. https://www.osti.gov/biblio/1513665 Publication ID: 58794
  • Debusschere, B., Templeton, J.A., Safta, C., Sargsyan, K., Pinar, A., Najm, H.N., & Najm, H.N. (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations [Conference Poster]. https://www.osti.gov/biblio/1512381 Publication ID: 58575
  • Sargsyan, K., Safta, C., Chowdhary, K., Castorena, S., de Bord, S., Debusschere, B., & Debusschere, B. (2017). UQTk Version 3.0.4 User Manual. https://doi.org/10.2172/1813904 Publication ID: 53568
  • Debusschere, B., Rizzi, F., Morris, K., Sargsyan, K., Safta, C., Najm, H.N., Knio, O., Mycek, P., Contreras, A., Olivier, L., & Olivier, L. (2017). Probabilistic Approach to Enable Extreme-Scale Simulations under Uncertainty and System Faults [Conference Poster]. https://www.osti.gov/biblio/1470926 Publication ID: 58435
  • Debusschere, B., Sadler, L., Antoun, B., Templeton, J.A., Kolda, T., May, E., & May, E. (2017). Improved Equity Diversity and Inclusion to Sustain an Effective Applied Mathematics Workforce [Conference Poster]. https://www.osti.gov/biblio/1466495 Publication ID: 58123
  • Najm, H.N., Debusschere, B., Safta, C., Sargsyan, K., Huan, X., Oefelein, J., Vane, Z., Eldred, M., Geraci, G., Knio, O., Sraj, I., Scovazzi, G., Colomes, O., Marzouk, Y., Zahm, O., Menhorn, F., Ghanem, R., Tsilifis, P., & Tsilifis, P. (2017). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine [Conference Poster]. https://www.osti.gov/biblio/1574094 Publication ID: 58225
  • Debusschere, B., Pinar, A., Sargsyan, K., Templeton, J.A., Najm, H.N., & Najm, H.N. (2017). Predictive Fidelity Interpretability and Resilience of Machine Learning Methods Applied to Scientific Simulations [Conference Poster]. https://www.osti.gov/biblio/1508933 Publication ID: 58088
  • Debusschere, B., Safta, C., Sargsyan, K., Chowdhary, K., & Chowdhary, K. (2017). Polynomial Chaos Based Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1513464 Publication ID: 57773
  • Debusschere, B., Safta, C., Sargsyan, K., Chowdhary, K., & Chowdhary, K. (2017). Polynomial Chaos Based Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1463445 Publication ID: 57774
  • Debusschere, B., Sargsyan, K., Safta, C., Chowdhary, K., & Chowdhary, K. (2017). Uncertainty quantification toolkit (UQTk). Handbook of Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021140868&origin=inward Publication ID: 45961
  • Debusschere, B. (2017). Intrusive polynomial chaos methods for forward uncertainty propagation. Handbook of Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034776867&origin=inward Publication ID: 46273
  • Morris, K., Rizzi, F., Cook, B., Dahlgren, K., Sargsyan, K., Mycek, P., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2017). A Resilient ULFM-based PDE Solver: Performance Scaling and Energy Analysis [Conference Poster]. https://doi.org/10.1109/ScalA.2016.010 Publication ID: 56981
  • Rizzi, F., Morris, K., Cook, B., Dahlgren, K., Sargsyan, K., Mycek, P., LeMaitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2017). Scaling and Energy Analysis for a Resilient ULFM-Based PDE Solver [Conference Poster]. https://www.osti.gov/biblio/1476821 Publication ID: 56982
  • Carpenter, J., Robinson, A., Debusschere, B., & Debusschere, B. (2017). Incorporating Data Uncertainty into Equation of State Tables [Conference Poster]. https://www.osti.gov/biblio/1458122 Publication ID: 56631
  • Sargsyan, K., Safta, C., Chowdhary, K., Castorena, S., de Bord, S., Debusschere, B., & Debusschere, B. (2017). UQTk Version 3.0.3 User Manual. https://doi.org/10.2172/1367452 Publication ID: 56649
  • Debusschere, B. (2017). Building a Partial Differential Equations Solver that is Resilient to Soft and Hard Faults [Presentation]. https://www.osti.gov/biblio/1458031 Publication ID: 56528
  • Debusschere, B. (2017). Bayesian Calibration: An introductory tutorial [Presentation]. https://www.osti.gov/biblio/1524281 Publication ID: 56529
  • Morris, K., Rizzi, F., Sargsyan, K., Dahlgren, K., Debusschere, B., Cook, B., Mycek, P., Le Maître, O., Knio, O., & Knio, O. (2017). Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver [Presentation]. https://doi.org/10.1109/ScalA.2016.010 Publication ID: 56543
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Contreras, A., Safta, C., Le Maître, O., Knio, O., Debusschere, B., & Debusschere, B. (2017). Partial Differential Equations Solver Resilient to Soft and Hard Faults [Conference Poster]. https://www.osti.gov/biblio/1424869 Publication ID: 55125
  • Debusschere, B. (2017). Uncertainty Quantification Toolkit [Presentation]. https://www.osti.gov/biblio/1458261 Publication ID: 54971
  • Morris, K., Rizzi, F., Cook, B., Mycek, P., LeMaitre, O., Knio, O.M., Sargsyan, K., Dahlgren, K., Debusschere, B., & Debusschere, B. (2017). Performance scaling variability and energy analysis for a resilient ULFM-based PDE solver [Conference Poster]. Proceedings of ScalA 2016: 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems – Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015189347&origin=inward Publication ID: 47715
  • Sargsyan, K., Safta, C., Najm, H.N., Debusschere, B., Ricciuto, D., Thornton, P., & Thornton, P. (2016). Weighted Iterative Bayesian Compressive Sensing (WIBCS) for High Dimensional Polynomial Surrogate Construction [Conference Poster]. https://www.osti.gov/biblio/1576186 Publication ID: 48156
  • Najm, H.N., Debusschere, B., Safta, C., Sargsyan, K., Huan, X., Oefelein, J., Lacaze, G., Vane, Z., Eldred, M., Geraci, G., Knio, O., Sraj, I., Scovazzi, G., Colomes, O., Marzouk, Y., Zahm, O., Menhorn, F., Ghanem, R., Tsilifis, P., & Tsilifis, P. (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ? [Conference Poster]. https://www.osti.gov/biblio/1420843 Publication ID: 47626
  • Najm, H.N., Debusschere, B., Safta, C., Sargsyan, K., Huan, X., Oefelein, J., Lacaze, G., Vane, Z., Eldred, M., Geraci, G., Knio, O., Sraj, I., Scovazzi, G., Colomes, O., Marzouk, Y., Zahm, O., Augustin, F., Menhorn, F., Ghanem, R., Tsilifis, P., & Tsilifis, P. (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine [Conference Poster]. https://www.osti.gov/biblio/1397105 Publication ID: 52534
  • Sargsyan, K., Safta, C., Chowdhary, K., Castorena, S., de Bord, S., Debusschere, B., & Debusschere, B. (2016). UQTk Version 3.0 User Manual. https://doi.org/10.2172/1562399 Publication ID: 52322
  • Carpenter, J., Debusschere, B., Robinson, A., & Robinson, A. (2016). Integrated Material Models for Equation of State and Transport Properties for Aluminum Supporting Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1527265 Publication ID: 52138
  • Carpenter, J., Robinson, A., Debusschere, B., Wills, A., & Wills, A. (2016). Accounting for Data Uncertainty in Making and Using an EOS [Presentation]. https://www.osti.gov/biblio/1369601 Publication ID: 50948
  • Dahlgren, K., Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2016). Rexsss Parallel Distributed PDE Solver Sensitivity Analysis [Presentation]. https://www.osti.gov/biblio/1373062 Publication ID: 51255
  • Dahlgren, K., Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2016). Rexsss Parallel Distributed PDE Solver Sensitivity Analysis [Presentation]. https://www.osti.gov/biblio/1373063 Publication ID: 51256
  • Castorena, S., Debusschere, B., & Debusschere, B. (2016). Why Are Dual Pane Windows Better? [Presentation]. https://www.osti.gov/biblio/1373065 Publication ID: 51258
  • Morris, K., Rizzi, F., Sargsyan, K., Dahlgren, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults [Conference Poster]. https://doi.org/10.1007/978-3-319-41321-1_24 Publication ID: 51019
  • Morris, K., Rizzi, F., Sargsyan, K., Dahlgren, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults [Conference Poster]. https://doi.org/10.1007/978-3-319-41321-1_24 Publication ID: 50587
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner [Conference Poster]. https://doi.org/10.1145/2909428.2909429 Publication ID: 50023
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner [Conference Poster]. https://doi.org/10.1145/2909428.2909429 Publication ID: 49778
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner. https://doi.org/10.2172/1561476 Publication ID: 49784
  • Morris, K., Rizzi, F., Sargsyan, K., Dahlgren, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. https://doi.org/10.2172/1561477 Publication ID: 49785
  • Debusschere, B., Sargsyan, K., Safta, C., Chowdhary, K., & Chowdhary, K. (2016). UQTk: A C++/Python Toolkit for Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1530503 Publication ID: 49217
  • Morris, K., Rizzi, F., Sargsyan, K., Mycek, P., Safta, C., LeMaitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). ULFM-MPI Implementation of a Resilient Task-Based Preconditioner for 2D Uncertain Elliptic PDEs [Conference Poster]. https://www.osti.gov/biblio/1365075 Publication ID: 49272
  • Sargsyan, K., Ricciuto, D., Thornton, P., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2016). Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model [Conference Poster]. https://www.osti.gov/biblio/1366666 Publication ID: 49199
  • Chowdhary, K., Debusschere, B., & Debusschere, B. (2016). Sensitivity of cloud fraction using Bayesian compressed sensing [Conference Poster]. https://www.osti.gov/biblio/1364806 Publication ID: 49012
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). Exploring the Interplay of Resilience and Energy Consumption for a Task-Based Partial Differential Equations Preconditioner. https://doi.org/10.2172/1561016 Publication ID: 48786
  • Rizzi, F., Morris, K., Sargsyan, K., Safta, C., Mycek, P., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). Interplay of Resilience and Energy Consumption for a Task-Based Partial Differential Equations Preconditioner [Conference Poster]. https://www.osti.gov/biblio/1346895 Publication ID: 48793
  • Najm, H.N., Debusschere, B., Safta, C., Sargsyan, K., Oefelein, J., Lacaze, G., Eldred, M., Knio, O., Scovazzi, G., Marzouk, Y., Ghanem, R., & Ghanem, R. (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine [Conference Poster]. https://www.osti.gov/biblio/1530652 Publication ID: 49101
  • Safta, C., Chowdhary, K., Sargsyan, K., Debusschere, B., & Debusschere, B. (2016). Implementation of UQ Workflows with the C++/Python UQTk Toolkit [Conference Poster]. https://www.osti.gov/biblio/1618229 Publication ID: 49134
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). Quantifying Performance of a Resilient Elliptic PDE Solver on Uncertain Architectures using SST/macro [Conference Poster]. https://www.osti.gov/biblio/1530654 Publication ID: 49143
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2016). A Soft and Hard Faults Resilient Solver for 2D Elliptic PDEs via Server-Client Implementation [Conference Poster]. https://www.osti.gov/biblio/1618235 Publication ID: 49144
  • Debusschere, B., Najm, H.N., Sargsyan, K., Chowdhary, K., Lucas, D., Bulaevskaya, V., Qian, Y., Ghan, S., Rosa, D., Collins, B., & Collins, B. (2016). Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error [Poster] [Conference Poster]. https://www.osti.gov/biblio/1239394 Publication ID: 46817
  • Debusschere, B., Najm, H.N., Sargsyan, K., Chowdhary, K., Lucas, D., Bulaevskaya, V., Qian, Y., Ghan, S., Rosa, D., Collins, W., & Collins, W. (2015). Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error [Conference Poster]. https://www.osti.gov/biblio/1338030 Publication ID: 41809
  • Rizzi, F., Knio, O., Jones, R.E., Adalsteisson, H., Najm, H.N., Sargsyan, K., Salloum, M., Safta, C., Debusschere, B., & Debusschere, B. (2015). UQ in Molecular Dynamics Simulations: Forward and Inverse Problem [Presentation]. https://www.osti.gov/biblio/1335540 Publication ID: 41880
  • Sargsyan, K., Safta, C., Najm, H.N., Debusschere, B., Ricciuto, D., Thornton, P., & Thornton, P. (2015). Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing [Conference Poster]. https://www.osti.gov/biblio/1335739 Publication ID: 41907
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., Le Maitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2015). Partial differential equations preconditioner resilient to soft and hard faults [Conference Poster]. Proceedings – IEEE International Conference on Cluster Computing, ICCC. https://doi.org/10.1007/978-3-319-41321-1_24 Publication ID: 49914
  • Carpenter, J., Robinson, A., Debusschere, B., Wills, A., & Wills, A. (2015). Building and Using Tabular Equations of State with Uncertainty Information [Conference Poster]. https://www.osti.gov/biblio/1328402 Publication ID: 45907
  • Carpenter, J., Robinson, A., Debusschere, B., Wills, A., & Wills, A. (2015). Automated Generation of Tabular Equations of State with Uncertainty Information [Conference Poster]. https://www.osti.gov/biblio/1334928 Publication ID: 46031
  • Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2015). Enabling Resilience via Asynchronous Server-Client Implementation [Conference Poster]. https://www.osti.gov/biblio/1321812 Publication ID: 45368
  • Robinson, A., Carpenter, J., Debusschere, B., & Debusschere, B. (2015). A UQ Enabled Aluminum Tabular Multiphase Equation-of-State Model [Conference Poster]. https://www.osti.gov/biblio/1327463 Publication ID: 45177
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., LeMaitre, O., Knio, O., Debusschere, B., & Debusschere, B. (2015). Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults [Conference Poster]. https://doi.org/10.1109/CLUSTER.2015.103 Publication ID: 45303
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., LeMaitre, O., Knio, O., Najm, H.N., Debusschere, B., & Debusschere, B. (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults [Conference Poster]. https://www.osti.gov/biblio/1326569 Publication ID: 45304
  • de Bord, S., Debusschere, B., Sargsyan, K., & Sargsyan, K. (2015). Performance of Numerical Integration Methods for High-Dimensional Functions [Presentation]. https://www.osti.gov/biblio/1340032 Publication ID: 44553
  • Dahlgren, K., Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2015). Rexsss PDE Solver Performance Analysis: Scalability Estimates Using the SST/macro Architecture Simulator [Presentation]. https://www.osti.gov/biblio/1331542 Publication ID: 44563
  • Squibb, J., Debusschere, B., Rizzi, F., Morris, K., & Morris, K. (2015). Profiling Rexsss Performance Using TAU [Presentation]. https://www.osti.gov/biblio/1339313 Publication ID: 44626
  • Eldred, M., Debusschere, B., Chowdhary, K., Jakeman, J., Rai, P., Safta, C., Sargsyan, K., & Sargsyan, K. (2015). Sandia Software Enabling Extreme-Scale Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1266821 Publication ID: 44419
  • Debusschere, B., Jakeman, J., Chowdhary, K., Safta, C., Sargsyan, K., Rai, P., Ghanem, R., Knio, O., La Maitre, O., Winokur, J., Li, G., Ghattas, O., Moser, R., Simmons, C., Alexanderian, A., Gattiker, J., Higdon, D., Lawrence, E., Bhat, S., … Parno, M. (2015). Quantification of Uncertainty in Extreme Scale Computations [Conference Poster]. https://www.osti.gov/biblio/1328212 Publication ID: 44684
  • Dahlgren, K., Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2015). Rexsss Scalability With SST/macro: Analyzing the Performance of a Distributed Fault-Resilient Software Package [Presentation]. https://www.osti.gov/biblio/1340116 Publication ID: 44479
  • Robinson, A., Mattsson, T.R., Shulenburger, L., Carpenter, J., Debusschere, B., & Debusschere, B. (2015). Sandia Equation of State (EOS) Deep Dive [Presentation]. https://www.osti.gov/biblio/1260525 Publication ID: 44256
  • Carpenter, J., Robinson, A., Debusschere, B., Wills, A., & Wills, A. (2015). Automated Generation of Tabular Equations of State with Uncertainty Information [Conference Poster]. https://www.osti.gov/biblio/1257683 Publication ID: 43976
  • Sargsyan, K., Sargsyan, K., Safta, C., Safta, C., Debusschere, B., Debusschere, B., Najm, H.N., Najm, H.N., Rizzi, F., Rizzi, F., Morris, K., Morris, K., Mycek, P., Mycek, P., Maitre, O., Maitre, O., Knio, O., Knio, O., & Knio, O. (2015). Fault Resilient Domain Decomposition Preconditioner for PDEs. https://doi.org/10.2172/1494624 Publication ID: 43981
  • Salloum, M., Sargsyan, K., Jones, R.E., Rizzi, F., Najm, H.N., Debusschere, B., & Debusschere, B. (2015). Quantifying Sampling Noise and Parametric Uncertainty in Coupled Atomistic-Continuum Simulations [Conference Poster]. https://www.osti.gov/biblio/1258267 Publication ID: 43585
  • Robinson, A., Debusschere, B., Carpenter, J., & Carpenter, J. (2015). Electromagnetic Continuum Mechanics in ALEGRA and Moving toward Uncertainty Quantification in Predictive Design [Presentation]. https://www.osti.gov/biblio/1258165 Publication ID: 43510
  • Sargsyan, K., Safta, C., Najm, H.N., Debusschere, B., Ricciuto, D., Thornton, P., & Thornton, P. (2015). High-Dimensional Sparse Surrogate Construction via Bayesian Compressive Sensing [Conference Poster]. https://www.osti.gov/biblio/1249469 Publication ID: 43203
  • Rizzi, F., Morris, K., Sargsyan, K., Safta, C., Mycek, P., LeMaitre, O., Najm, H.N., Knio, O., Debusschere, B., & Debusschere, B. (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults [Conference Poster]. https://www.osti.gov/biblio/1531275 Publication ID: 42991
  • Carpenter, J., Robinson, A., Wills, A., Debusschere, B., & Debusschere, B. (2015). A UQ Enabled Aluminum Tabular Multiphase Equation-of-State Model [Conference Poster]. https://www.osti.gov/biblio/1240252 Publication ID: 42259
  • Rizzi, F., Morris, K., Sargsyan, K., Mycek, P., Safta, C., LeMaitre, O., Knio, O., Najm, H.N., Debusschere, B., & Debusschere, B. (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults [Conference Poster]. https://www.osti.gov/biblio/1238560 Publication ID: 41559
  • Debusschere, B., Sargsyan, K., & Sargsyan, K. (2015). Uncertainty Quantification – Lecture 3 [Presentation]. https://www.osti.gov/biblio/1531267 Publication ID: 41434
  • Debusschere, B., Sargsyan, K., & Sargsyan, K. (2015). Uncertainty Quantification – Lecture 2 [Presentation]. https://www.osti.gov/biblio/1237887 Publication ID: 41435
  • Safta, C., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2015). Hybrid discrete/continuum algorithms for stochastic reaction networks. Journal of Computational Physics, 281, pp. 177-198. https://doi.org/10.1016/j.jcp.2014.10.026 Publication ID: 31741
  • Safta, C., Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B., Swiler, L., Eldred, M., & Eldred, M. (2015). Probabilistic methods for sensitivity analysis and calibration in the NASA challenge problem. Journal of Aerospace Information Systems, 12(1), pp. 219-234. https://doi.org/10.2514/1.I010256 Publication ID: 40146
  • Salloum, M., Sargsyan, K., Jones, R.E., Rizzi, F., Najm, H.N., Debusschere, B., & Debusschere, B. (2014). Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models [Conference Poster]. https://doi.org/10.1137/140989601 Publication ID: 39965
  • Sargsyan, K., Najm, H.N., Safta, C., Debusschere, B., ricciuto, D., Thornton, P., & Thornton, P. (2014). Parameter Estimation in High-Dimensional Climate Models [Presentation]. https://www.osti.gov/biblio/1504061 Publication ID: 39875
  • Debusschere, B., Carpenter, J., Robinson, A., Wills, A., & Wills, A. (2014). Representation and Propagation of Uncertainty in Equations of State for Shock Hydrodynamics [Conference Poster]. https://www.osti.gov/biblio/1315579 Publication ID: 39183
  • Carpenter, J., Robinson, A., Wills, A., Drake, R., Rider, W., Debusschere, B., & Debusschere, B. (2014). Lessons From Uncertainty Propagation Using Tabular Multiphase Equations of State [Presentation]. https://www.osti.gov/biblio/1241735 Publication ID: 38851
  • Dahlgren, K., Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2014). Rexsss Performance Analysis: Domain Decomposition Algorithm Implementations for Resilient Numerical Partial Differential Equation Solvers. https://doi.org/10.2172/1171553 Publication ID: 38143
  • Rizzi, F., Sargsyan, K., Debusschere, B., Safta, C., Morris, K., Knio, O., Najm, H.N., & Najm, H.N. (2014). Towards a Probabilistic Approach to Extreme-Scale Simulations under Uncertainty and System Faults [Presentation]. https://www.osti.gov/biblio/1569398 Publication ID: 37661
  • Eldred, M., Debusschere, B., Chowdhary, K., Jakeman, J., Najm, H.N., Safta, C., Sargsyan, K., & Sargsyan, K. (2014). Sandia Software Enabling Extreme-Scale Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1494264 Publication ID: 37782
  • Dahlgren, K., Rizzi, F., Morris, K., Debusschere, B., & Debusschere, B. (2014). Rexsss Performance Analysis: Domain Decomposition For PDEs [Presentation]. https://www.osti.gov/biblio/1494411 Publication ID: 37813
  • Najm, H.N., Eldred, M., Debusschere, B., Chowdhary, K., Jakeman, J., Safta, C., Sargsyan, K., & Sargsyan, K. (2014). An Overview of Select UQ Algorithms and their Utility in Applications [Presentation]. https://www.osti.gov/biblio/1494413 Publication ID: 37818
  • Robinson, A., Drake, R., Carpenter, J., Wills, A., Rider, W., Debusschere, B., & Debusschere, B. (2014). Effective Representation and Propagation of Uncertainty Through Tabular Multiphase Equation-of-State Models [Presentation]. https://www.osti.gov/biblio/1496687 Publication ID: 37603
  • Debusschere, B., Safta, C., Najm, H.N., & Najm, H.N. (2014). Bayesian Compressive Sensing Framework [Conference]. https://www.osti.gov/biblio/1141438 Publication ID: 40246
  • Safta, C., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2014). Bayesian discontinuity detection and surrogate construction for complex computer models [Conference]. https://www.osti.gov/biblio/1142115 Publication ID: 40288
  • Debusschere, B., Koning, P., & Koning, P. (2014). Sandia’s exascale computing effort expected to curtail effects of system faults [Presentation]. https://www.osti.gov/biblio/1686289 Publication ID: 40022
  • Debusschere, B., Sargsyan, K., Rizzi, F., Safta, C., Morris, K., Najm, H.N., & Najm, H.N. (2014). Probabilistic Approaches for Fault-Tolerance and Scalability in Extreme-Scale Computing [Conference]. https://www.osti.gov/biblio/1141119 Publication ID: 37274
  • Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B., Swiler, L., Eldred, M., & Eldred, M. (2014). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis [Conference]. https://doi.org/10.2514/6.2014-1497 Publication ID: 36802
  • Najm, H.N., Chowdhary, K., Sargsyan, K., Debusschere, B., & Debusschere, B. (2013). Inference of Chemical Model Parameters given Partial Information [Conference]. https://www.osti.gov/biblio/1121920 Publication ID: 31788
  • Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Global Sensitivity Analysis and Parameter Calibration for an Ecosystem Carbon Model [Conference]. https://www.osti.gov/biblio/1122345 Publication ID: 31837
  • Sargsyan, K., Najm, H.N., Chowdhary, K., Debusschere, B., Swiler, L., Eldred, M., & Eldred, M. (2013). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis [Conference]. https://doi.org/10.2514/6.2014-1497 Publication ID: 31866
  • Debusschere, B. (2013). Improvements in microphysics calculations [Conference]. https://www.osti.gov/biblio/1122624 Publication ID: 31882
  • Debusschere, B., Sargsyan, K., Safta, C., & Safta, C. (2013). UQTk version 2.0 user manual. https://doi.org/10.2172/1115280 Publication ID: 36357
  • Debusschere, B., Safta, C., Sargsyan, K., Najm, H.N., & Najm, H.N. (2013). Hybrid Discrete / Continuum Algorithms for Stochastic Reaction Networks [Presentation]. https://www.osti.gov/biblio/1673517 Publication ID: 36133
  • Chowdhary, K., Debusschere, B., & Debusschere, B. (2013). Quadrature based sampling methods to account for sub-grid microphysics variability [Presentation]. https://www.osti.gov/biblio/1671979 Publication ID: 35700
  • Robinson, A., Berry, R.D., Carpenter, J., Debusschere, B., Drake, R., Mattsson, A.E., Rider, W., & Rider, W. (2013). Fundamental issues in the representation and propagation of uncertain equation of state information in shock hydrodynamics [Conference]. Computers and Fluids. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84879784090&origin=inward Publication ID: 24185
  • Carpenter, J., Wills, A., Rider, W., Debusschere, B., Robinson, A., Drake, R., & Drake, R. (2013). Representation and Propagation of Uncertainty for Tabular Multiphase Equation-of-State Models [Conference]. https://www.osti.gov/biblio/1115094 Publication ID: 35340
  • Safta, C., Debusschere, B., Sargsyan, K., Najm, H.N., & Najm, H.N. (2013). Hybrid Discrete – Continuum Algorithms for Stochastic Reaction Networks [Conference]. https://www.osti.gov/biblio/1106462 Publication ID: 34957
  • Debusschere, B., Najm, H.N., Sargsyan, K., Safta, C., & Safta, C. (2013). Probabilistic Approaches for Communication Avoidance and Resilience in Exascale Simulations [Conference]. https://www.osti.gov/biblio/1140465 Publication ID: 35230
  • Wilke, J., Sargsyan, K., Kenny, J., Hendry, G., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Presentation: Validating extreme-scale HPC simulation through Bayesian inference uncertainty quantification [Conference]. https://www.osti.gov/biblio/1107500 Publication ID: 35260
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Sparse surrogate model construction via compressive sensing [Conference]. https://www.osti.gov/biblio/1106053 Publication ID: 34576
  • Najm, H.N., Debusschere, B., Chowdhary, K., & Chowdhary, K. (2013). Highlights of QUEST Developments and Partnership Activities [Conference]. https://www.osti.gov/biblio/1106852 Publication ID: 34848
  • Carpenter, J., Robinson, A., Debusschere, B., Wills, A., Drake, R., Rider, W., & Rider, W. (2013). An Uncertainty Quantification System for Tabular Equations of State [Conference]. https://www.osti.gov/biblio/1106752 Publication ID: 34398
  • Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Surrogate Construction and Dimensionality Reduction via Bayesian Compressive Sensing [Conference]. https://www.osti.gov/biblio/1106779 Publication ID: 34711
  • Jarvis, K., Najm, H.N., Debusschere, B., & Debusschere, B. (2013). Monte Carlo Estimation of Moments: Nonlinearity & Dimensionality [Conference]. https://www.osti.gov/biblio/1297092 Publication ID: 34713
  • Najm, H.N., Debusschere, B., & Debusschere, B. (2013). Analysis and Reduction of Chemical Models under Uncertainty [Conference]. https://www.osti.gov/biblio/1095568 Publication ID: 34185
  • Safta, C., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). DALEC calibration with daily NEE Data at Harvard Forest [Presentation]. https://www.osti.gov/biblio/1661144 Publication ID: 33614
  • Najm, H.N., Chowdhary, K., Safta, C., Sargsyan, K., Debusschere, B., & Debusschere, B. (2013). Parameter Estimation with Partial Information [Conference]. https://www.osti.gov/biblio/1079802 Publication ID: 33659
  • Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Probabilistic Approaches for Communication Avoidance and Resilience in Exascale Simulations [Conference]. https://www.osti.gov/biblio/1115688 Publication ID: 33425
  • Debusschere, B., Sargsyan, K., Safta, C., Najm, H.N., & Najm, H.N. (2013). UQ tutorial slides [Presentation]. https://www.osti.gov/biblio/1661320 Publication ID: 33766
  • Najm, H.N., Safta, C., Sargsyan, K., Debusschere, B., Chowdhary, K., & Chowdhary, K. (2013). QUEST SNL Activities [Conference]. https://www.osti.gov/biblio/1115638 Publication ID: 33185
  • Najm, H.N., Safta, C., Sargsyan, K., Debusschere, B., Chowdhary, K., & Chowdhary, K. (2013). Parameter Estimation with Missing Data [Conference]. https://www.osti.gov/biblio/1078649 Publication ID: 32977
  • Debusschere, B., Sargsyan, K., Safta, C., Hendry, G., Najm, H.N., & Najm, H.N. (2013). Probabilistic Schwarz Coupling for Fault-Tolerance and Scalability [Conference]. https://www.osti.gov/biblio/1115986 Publication ID: 32388
  • Najm, H.N., Debusschere, B., & Debusschere, B. (2013). Analysis and Reduction of Chemical Models under Uncertainty [Conference]. https://www.osti.gov/biblio/1145221 Publication ID: 32646
  • Carpenter, J., Wills, A., Rider, W., Debusschere, B., Robinson, A., Drake, R., & Drake, R. (2013). Representation and Propagation of Uncertainty for Tabular Multiphase Equation-of-State Models [Conference]. https://www.osti.gov/biblio/1145224 Publication ID: 32652
  • Carpenter, J., Wills, A., Rider, W., Debusschere, B., Robinson, A., Drake, R., & Drake, R. (2013). Representation and Propagation of Uncertainty in Multiphase Tabular Equation-of-State Models [Presentation]. https://www.osti.gov/biblio/1657709 Publication ID: 32493
  • Safta, C., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Hybrid Discrete/Continuum Algorithms for Stochastic Reaction Networks [Conference]. https://www.osti.gov/biblio/1145251 Publication ID: 32344
  • Wilke, J., Sargsyan, K., Kenny, J., Hendry, G., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Validating extreme-scale HPC simulation through Bayesian inference uncertainty quantification [Conference]. https://www.osti.gov/biblio/1063301 Publication ID: 32117
  • Safta, C., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2013). Dimensionality Reduction and Global Sensitivity Analysis for the Community Land Model [Conference]. https://www.osti.gov/biblio/1063570 Publication ID: 32141
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2012). Multiparameter spectral representation of noise-induced competence in bacillus subtilis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(6), pp. 1709-1723. https://doi.org/10.1109/TCBB.2012.107 Publication ID: 25769
  • Safta, C., Najm, H.N., Debusschere, B., & Debusschere, B. (2012). Dimensionality reduction for complex models via Bayesian compressive sensing. Proposed for publication in International Journal for Uncertainty Quantification.. https://www.osti.gov/biblio/1072527 Publication ID: 26576
  • Carpenter, J., Robinson, A., Rider, W., Wills, A., Debusschere, B., Drake, R., & Drake, R. (2012). Uncertainty Quantification system for EOS [Conference]. https://www.osti.gov/biblio/1116248 Publication ID: 30625
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2012). Project report for Stochastic Dynamical Systems: Analysis of Dynamics and Predictability [Presentation]. https://www.osti.gov/biblio/1648427 Publication ID: 30930
  • Carpenter, J., Wills, A., Rider, W., Debusschere, B., Robinson, A., Drake, R., & Drake, R. (2012). REPRESENTATION AND PROPAGATION OF UNCERTAINTY IN EQUATION-OF-STATE MODELS FOR SHOCK PHYSICS APPLICATIONS [Conference]. https://www.osti.gov/biblio/1116415 Publication ID: 30234
  • Carpenter, J., Robinson, A., Debusschere, B., Drake, R., Wills, A., Rider, W., & Rider, W. (2012). Practical Uncertainty Propagation Through Hydrocodes For Complex Equation of State Models [Conference]. https://www.osti.gov/biblio/1116281 Publication ID: 30334
  • Najm, H.N., Debusschere, B., Eldred, M., & Eldred, M. (2012). Quantification of Uncertainty in Extreme Scale Computations (QUEST) [Conference]. https://www.osti.gov/biblio/1073262 Publication ID: 29902
  • Debusschere, B., Najm, H.N., Safta, C., Sargsyan, K., & Sargsyan, K. (2012). Polynomial Chaos based uncertainty propagation Intrusive and Non-Intrusive Methods [Presentation]. https://www.osti.gov/biblio/1647838 Publication ID: 29720
  • Liu, Z., Safta, C., Sargsyan, K., van Bloemen Waanders, B., Debusschere, B., Najm, H.N., Bambha, R.P., & Bambha, R.P. (2012). Uncertainty Analysis and Bayesian Inference of Emissions and Transport from Urban Areas [Conference]. https://www.osti.gov/biblio/1073293 Publication ID: 29491
  • Najm, H.N., Sargsyan, K., Safta, C., Debusschere, B., Jakeman, J., Eldred, M., & Eldred, M. (2012). Sparse Polynomial Representations of High Dimensional Models [Conference]. https://www.osti.gov/biblio/1073443 Publication ID: 28932
  • Debusschere, B. (2012). Uncertainty Quantification in MD simulations of concentration driven ionic flow through a silica nanopore. Part I: sensitivity to pore physical parameters. Proposed for publication in Microfluidics and Nanofluidics.. https://www.osti.gov/biblio/1073165 Publication ID: 29042
  • Najm, H.N., Safta, C., Debusschere, B., Sargsyan, K., & Sargsyan, K. (2012). Uncertainty Quantification in the Community Land Model [Conference]. https://www.osti.gov/biblio/1073227 Publication ID: 28695
  • Najm, H.N., Safta, C., Sargsyan, K., Debusschere, B., & Debusschere, B. (2012). INFERENCE OF UNCERTAIN PARAMETERS IN CHEMICALMODELS. Proposed for publication in International Journal for Uncertainty Quantification.. https://www.osti.gov/biblio/1073410 Publication ID: 28829
  • Najm, H.N., Debusschere, B., Safta, C., Sargsyan, K., & Sargsyan, K. (2012). Bayesian Parameter Estimation with Partial Information [Conference]. https://www.osti.gov/biblio/1073174 Publication ID: 27998
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2012). Coupled Chemical Master Equation – Fokker Planck Solver for Stochastic Reaction Networks [Conference]. https://www.osti.gov/biblio/1068329 Publication ID: 27466
  • Safta, C., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2012). Efficient Surrogate Construction for High-Dimensional Climate Model [Conference]. https://www.osti.gov/biblio/1078600 Publication ID: 27471
  • Debusschere, B., Safta, C., Sargsyan, K., & Sargsyan, K. (2012). Uncertainty Quantification: UQTk example problems [Presentation]. https://www.osti.gov/biblio/1657036 Publication ID: 27529
  • Sargsyan, K., Jones, R.E., Debusschere, B., Najm, H.N., & Najm, H.N. (2012). Quantifying Sampling Noise and Parametric Uncertainty in Coupled Atomistic-Continuum Simulations [Conference]. https://www.osti.gov/biblio/1078657 Publication ID: 27422
  • Najm, H.N., Debusschere, B., Eldred, M., Safta, C., Jakeman, J., & Jakeman, J. (2012). Quantification of Uncertainty in Extreme Scale Computations (QUEST) [Conference]. https://www.osti.gov/biblio/1078675 Publication ID: 27011
  • Carpenter, J., Wills, A., Rider, W., Berry, R.D., Debusschere, B., Robinson, A., Drake, R., & Drake, R. (2012). Uncertainty quantification of equation-of-state closures and shock hydrodynamics [Conference]. https://www.osti.gov/biblio/1117554 Publication ID: 27385
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2012). Multiparameter spectral representation of noise-induced competence in Bacillus subtilis. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 9(6). https://doi.org/10.1109/TCBB.2012.107 Publication ID: 26085
  • Safta, C., Sargsyan, K., Bambha, R.P., Michelsen, H.A., Debusschere, B., Najm, H.N., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2011). Efficient Source Inversion Methodologies using Regional Transport Models [Conference]. https://www.osti.gov/biblio/1106861 Publication ID: 25603
  • Sargsyan, K., Safta, C., Berry, R.D., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Uncertainty Quantification in ClimateModeling [Conference]. https://www.osti.gov/biblio/1106672 Publication ID: 25612
  • Berry, R.D., Najm, H.N., Debusschere, B., & Debusschere, B. (2011). Analysis of Uncertainty in Dynamical Systems [Conference]. https://www.osti.gov/biblio/1143862 Publication ID: 25613
  • Sargsyan, K., Safta, C., Berry, R.D., Ray, J., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Efficient uncertainty quantification methodologies for high-dimensional climate land models. https://doi.org/10.2172/1113860 Publication ID: 25433
  • Carpenter, J., Wills, A., Rider, W., Berry, R.D., Debusschere, B., Robinson, A., Drake, R., & Drake, R. (2011). Uncertainty quantification of equation-of-state closures and shock hydrodynamics [Conference]. https://www.osti.gov/biblio/1141271 Publication ID: 25318
  • Berry, R.D., Najm, H.N., Debusschere, B., & Debusschere, B. (2011). Asymptotic Eigenvalue Distribution of Block Toeplitz Matrices Associated with Orthogonal Polynomials. Linear Algebra and its Applications. https://www.osti.gov/biblio/1111621 Publication ID: 25334
  • Najm, H.N., Debusschere, B., Eldred, M., & Eldred, M. (2011). Quantification of Uncertainty in Extreme Scale Computations (QUEST) [Conference]. https://www.osti.gov/biblio/1111617 Publication ID: 25335
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Bayesian Quantification of Uncertainty in Systems with Intrinsic Noise [Presentation]. https://www.osti.gov/biblio/1728568 Publication ID: 24910
  • Sargsyan, K., Safta, C., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Bayesian Quantification of Uncertainty in Systems with Intrinsic Noise [Presentation]. https://www.osti.gov/biblio/1728569 Publication ID: 24979
  • Salloum, M., Jones, R.E., Sargsyan, K., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Propagating Uncertainty from Simulation Parameters and Sampling Noise through Coupled Atomistic-to-Continuum Systems [Conference]. https://www.osti.gov/biblio/1106012 Publication ID: 25040
  • Najm, H.N., Debusschere, B., Eldred, M., & Eldred, M. (2011). Quantification of Uncertainty in Extreme Scale Computations (QUEST) [Presentation]. https://www.osti.gov/biblio/1663334 Publication ID: 24484
  • Debusschere, B. (2011). Uncertainty Quantification: Enabling Predictive Simulations [Presentation]. https://www.osti.gov/biblio/1663355 Publication ID: 24539
  • Salloum, M., Sargsyan, K., Jones, R.E., Debusschere, B., Najm, H.N., Adalsteinsson, H., & Adalsteinsson, H. (2011). A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations. SIAM Journal on Multiscale Modeling and Simulation. https://www.osti.gov/biblio/1106854 Publication ID: 24093
  • Najm, H.N., Berry, R.D., Debusschere, B., & Debusschere, B. (2011). Uncertainty Quantification in Reacting Flow [Conference]. https://www.osti.gov/biblio/1106638 Publication ID: 23852
  • Sargsyan, K., Safta, C., Berry, R.D., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Uncertainty Quantication in Climate Modeling [Conference]. https://www.osti.gov/biblio/1106987 Publication ID: 23958
  • Najm, H.N., Safta, C., Sargsyan, K., Debusschere, B., & Debusschere, B. (2011). Uncertainty Quantification given Discontinuities Long-tailed Distributions and Computationally Intensive Models [Conference]. https://www.osti.gov/biblio/1106267 Publication ID: 23598
  • Najm, H.N., Berry, R.D., Debusschere, B., & Debusschere, B. (2011). Uncertainty Quantification in Reacting Flow [Conference]. https://www.osti.gov/biblio/1107021 Publication ID: 23619
  • Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Computational Singular Perturbation with Non-Parametric Tabulation of Slow Manifolds for Time Integration of Stiff Chemical Kinetics [Conference]. https://www.osti.gov/biblio/1106785 Publication ID: 23748
  • Robinson, A., Carpenter, J., Drake, R., Wills, A., Rider, W., Berry, R.D., Debusschere, B., & Debusschere, B. (2011). Fundamental issues in the representation and propagation of uncertain equation-of-state information in shock hydrodynamics [Presentation]. https://doi.org/10.1016/j.compfluid.2012.10.024 Publication ID: 23152
  • Najm, H.N., Salloum, M., Sargsyan, K., Jones, R.E., Debusschere, B., Adalsteinsson, H., & Adalsteinsson, H. (2011). Uncertainty Quantification in Multiscale Atomistic-Continuum Models [Conference]. https://www.osti.gov/biblio/1107557 Publication ID: 23193
  • Najm, H.N., Berry, R.D., Debusschere, B., & Debusschere, B. (2011). Uncertainty Quantification in Reacting Flow [Conference]. https://www.osti.gov/biblio/1108242 Publication ID: 22547
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