Habib N. Najm
Senior Scientist, Combustion Research Facility
Senior Scientist, Combustion Research Facility
Biography
Habib Najm is a Senior Scientist at Sandia National Laboratory. He leads a research program in computational chemical sciences and uncertainty quantification, funded by the U.S. Department of Energy. He joined Sandia National Laboratories in 1993, and has worked in numerous computational science research areas, broadly focusing on the development of numerical methods and computational tools, and their application in scientific studies.
Habib has ongoing work in stochastic chemical modeling; uncertainty quantification and Bayesian inference with application in a range of chemical and materials science disciplines; optimal experimental design with application in chemical experiments; dynamical analysis of gas and surface chemical models; and machine learning with application in quantum chemistry for hydrocarbons. He is author/co-author of over 100 journal articles and holds eleven US patents.
Education
PhD | Mechanical Engineering | Massachusetts Institute of Technology | 1989 |
SM | Mechanical Engineering | Massachusetts Institute of Technology | 1986 |
BE | Mechanical Engineering | American University of Beirut | 1983 |
Research Interests
- Computational chemistry & materials science
- Numerical methods & computational software for uncertainty quantification
- Statistical learning & data analysis in the physical sciences
- Machine learning & data science in computational studies in chemistry & materials
Professional Organizations & Leadership
American Physical Society | Member |
Society of Industrial and Applied Mathematics | Member |
Combustion Institute | Member |
American University of Beirut, Lebanon | Member, Department Advisory Board, Mechanical Engineering Department |
Auburn University | Affiliated Professor, Dept. of Mathematics and Statistics |
East Asian Journal of Applied Mathematics | Associate Editor |
International Journal for Uncertainty Quantification, Begellhouse, Inc. | Editor in Chief |
Journal of Uncertainty Quantification, SIAM-ASA | Associate Editor |
American Institute of Mathematical Sciences | Associate Editor, Foundations of Data Science |
Awards
- Fellow, Combustion Institute
- O.W. Adams Award for Outstanding Achievement in Combustion Science, Sandia National Laboratories
- Distinguished Alumnus Award, American University of Beirut, Lebanon
Publications
Xiaoying Han, Habib Najm, (2022). Modeling Fast Diffusion Processes in Time Integration of Stiff Stochastic Differential Equations Communications on Applied Mathematics and Computation https://www.osti.gov/servlets/purl/1760359 Publication ID: 71901
Marta D’Elia, Pavel Bochev, John Foster, Christian Glusa, Mamikon Gulian, Max Gunzburger, Jeremy Trageser, Kristopher Kuhlman, Mario Martinez, Habib Najm, Stewart Silling, Michael Tupek, Xiao Xu, (2022). Mathematical Foundations for Nonlocal Interface Problems: Multiscale Simulations of Heterogeneous Materials (Final LDRD Report) https://doi.org/10.2172/1888162 Publication ID: 80232
Cosmin Safta, Michael Sparapany, Michael Grant, Habib Najm, (2022). Trajectory design via unsupervised probabilistic learning on optimal manifolds Data-Centric Engineering https://doi.org/10.1017/dce.2022.26 Publication ID: 80143
T. Younkin, Khachik Sargsyan, Tiernan Casey, Habib Najm, J. Canik, D. Green, R. Doerner, D. Nishijima, M. Baldwin, J. Drobny, D. Curreli, B. Wirth, (2022). Quantification of the effect of uncertainty on impurity migration in PISCES-A simulated with GITR Nuclear Fusion https://doi.org/10.1088/1741-4326/ac2bfa Publication ID: 80875
Habib Najm, Yoona Yang, Judit Zador, Michael Eldred, (2021). Surrogate models and physics constraints in atomistic modeling https://doi.org/10.2172/1903685 Publication ID: 77137
Habib Najm, (2021). Machine Learning in Computational Science https://doi.org/10.2172/1899485 Publication ID: 76591
Cosmin Safta, Habib Najm, Oscar Diaz-Ibarra, Kyungjoo Kim, (2021). TChem v3.0: A Software Toolkit for the Analysis of Complex Kinetic Models https://doi.org/10.2172/1829197 Publication ID: 76644
Oscar Diaz-Ibarra, Kyungjoo Kim, Cosmin Safta, Habib Najm, (2021). CSPlib – A Toolkit for the Analysis of ODE/DAE Dynamical Systems and Chemical Kinetic Models https://doi.org/10.2172/1855067 Publication ID: 77175
Habib Najm, Khachik Sargsyan, Kyungjoo Kim, C. Goldsmith, Richard West, Eric Bylaska, David Bross, Branko Ruscic, Cosmin Safta, Judit Zador, Christopher Blais, Katrín Blöndal, Oscar Diaz-Ibarra, Eric Hermes, Emily Mazeau, (2021). Exascale Catalytic Chemistry (ECC) https://doi.org/10.2172/1890393 Publication ID: 76037
Eric Hermes, Katrin Blondal, Bjarne Kreitz, Khachik Sargsyan, Habib Najm, Judit Zador, C. Goldsmith, Richard West, (2021). Application of a Novel Saddle Point Optimization Algorithm on Surface Reactions Involving Bidentate Adsorbates https://doi.org/10.2172/1890874 Publication ID: 76044
Eric Hermes, Khachik Sargsyan, Habib Najm, Judit Zador, (2021). Geometry optimization speedup through a geodesic approach to internal coordinates Journal of Chemical Physics https://doi.org/10.1063/5.0060146 Publication ID: 75381
Cosmin Safta, Habib Najm, Michael Grant, Michael Sparapany, (2021). Trajectory Optimization via Unsupervised Probabilistic Learning On Manifolds https://doi.org/10.2172/1821958 Publication ID: 75865
Khachik Sargsyan, Katherine Johnstone, Varuni Dantanarayana, Habib Najm, (2021). Active Learning and Uncertainty Quantification for Machine Learning Interatomic Potentials https://doi.org/10.2172/1890912 Publication ID: 75904
Blais Christopher, Oscar Diaz-Ibarra, Emily Mazeau, Maciej Gierada, Eric Hermes, Cosmin Safta, Kyungjoo Kim, Habib Najm, Eric Bylaska, Judit Zador, C. Goldsmith, Richard West, (2021). AUTOMATIC GENERATION AND ANALYSIS OF MICROKINETIC MODELS https://doi.org/10.2172/1890361 Publication ID: 75926
Habib Najm, Yoona Yang, (2021). AEVmod – Atomic Environment Vector Module Documentation https://doi.org/10.2172/1817835 Publication ID: 79691
Arun Hegde, Cosmin Safta, Habib Najm, Elan Weiss, Wolfgang Windl, (2021). Bayesian Calibration of Interatomic Potential Models for Binary Alloys https://doi.org/10.2172/1879292 Publication ID: 79538
Joshua Hudson, Khachik Sargsyan, Marta D’Elia, Habib Najm, (2021). Analysis of Neural Networks as Dynamical Systems https://doi.org/10.2172/1883507 Publication ID: 79301
Arun Hegde, Cosmin Safta, Habib Najm, Elan Weiss, Wolfgang Windl, (2021). Bayesian calibration of interatomic potential models for binary alloys https://doi.org/10.2172/1875384 Publication ID: 79051
Arun Hegde, Cosmin Safta, Habib Najm, Elan Weiss, Wolfgang Windl, (2021). Bayesian calibration of interatomic potential models for binary alloys https://doi.org/10.2172/1877337 Publication ID: 78796
Cosmin Safta, Oscar Diaz-Ibarra, Kyungjoo Kim, Habib Najm, (2021). TChem ? An Open Source Computational Chemistry Software Library for Heterogeneous Computing Platforms https://doi.org/10.2172/1881665 Publication ID: 78610
Dimitris Goussis, Hong Im, Habib Najm, Samuel Paolucci, Mauro Valorani, (2021). The origin of CEMA and its relation to CSP Combustion and Flame https://doi.org/10.1016/j.combustflame.2021.01.020 Publication ID: 74417
Cosmin Safta, Oscar Diaz-Ibarra, Habib Najm, Kyungjoo Kim, (2021). TChem – An Open Source Computational Chemistry Software Library for Heterogenous Computing Platforms https://www.osti.gov/servlets/purl/1862775 Publication ID: 77992
Habib Najm, (2021). Some Comments on Bayesian Optimal Experimental Design https://www.osti.gov/servlets/purl/1882502 Publication ID: 78045
James Oreluk, Leonid Sheps, Habib Najm, (2021). Bayesian Optimal Experimental Design for Chemical Rate Constant Measurement using Mass Spectrometry https://doi.org/10.2172/1855329 Publication ID: 77548
Oscar Diaz-Ibarra, Kyungjoo Kim, Cosmin Safta, Judit Zador, Habib Najm, (2021). Using computational singular perturbation as a diagnostic tool in ODE and DAE systems: a case study in heterogeneous catalysis Combustion Theory and Modelling https://doi.org/10.1080/13647830.2021.2002417 Publication ID: 76564
Oscar Diaz-Ibarra, Kyungjoo Kim, Cosmin Safta, Habib Najm, (2021). CSPlib – A Software Toolkit for the Analysis of Dynamical Systems and Chemical Kinetic Models https://doi.org/10.2172/1810242 Publication ID: 75971
Katrin Blondal, Khachik Sargsyan, David Bross, Eric Hermes, Habib Najm, Judit Zádor, C. Goldsmith, (2020). Including anharmonicity in adsorbate partition functions and how it affects theoretical parameter estimates for desorption of methanol from a Cu(111) surface https://doi.org/10.2172/1831569 Publication ID: 71767
Xun Huan, Cosmin Safta, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2020). Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations https://doi.org/10.2514/6.2019-0724 Publication ID: 71172
Habib Najm, (2020). Uncertainty Quantification in Large Scale Computational Models https://www.osti.gov/servlets/purl/1822295 Publication ID: 70930
Xiaoying Han, Habib Najm, (2019). Effective construction of eigenvectors for a class of singular sparse matrices Applied Mathematics Letters https://doi.org/10.1016/j.aml.2019.05.018 Publication ID: 67071
Habib Najm, (2019). Uncertainty Quantification in Large Scale Computational Models https://www.osti.gov/servlets/purl/1646080 Publication ID: 65731
Habib Najm, (2019). Uncertainty Quantification with Model Error https://www.osti.gov/servlets/purl/1646081 Publication ID: 65732
Tiernan Casey, Khachik Sargsyan, Habib Najm, (2019). Uncertainty quantification workflows in fusion plasma surface interaction modeling https://www.osti.gov/servlets/purl/1643062 Publication ID: 66036
Habib Najm, Cosmin Safta, Xun Huan, Tiernan Casey, Khachik Sargsyan, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, Michael Eldred, Gianluca Geraci, (2019). Uncertainty Quantification in Computational Models of Large Scale Physical Systems https://www.osti.gov/servlets/purl/1641505 Publication ID: 70287
Cem Gormezano, Tiernan Casey, Habib Najm, (2019). Distance Functions for Chaotic Dynamical Systems https://www.osti.gov/servlets/purl/1641188 Publication ID: 69842
Tiernan Casey, Bert Debusschere, Michael Eldred, Gianluca Geraci, Roger Ghanem, John Jakeman, Youssef Marzouk, Habib Najm, Cosmin Safta, Khachik Sargsyan, (2019). FASTMath: UQ Algorithms https://www.osti.gov/servlets/purl/1641088 Publication ID: 69621
Habib Najm, Cosmin Safta, Xun Huan, Tiernan Casey, Khachik Sargsyan, Joseph Oefelein, Guilhem Lacaze, Michael Eldred, Gianluca Geraci, (2019). Uncertainty Quantification in Large Scale Computational Models https://www.osti.gov/servlets/purl/1641089 Publication ID: 69622
Habib Najm, (2019). Explicit Time Integration of the Stiff Chemical Langevin Equation https://www.osti.gov/servlets/purl/1640628 Publication ID: 68978
Khachik Sargsyan, Timothy Younkin, Tiernan Casey, Habib Najm, Brian Wirth, (2019). Uncertainty Quantification and Propagation for Impurity Migration https://www.osti.gov/servlets/purl/1643670 Publication ID: 68990
Habib Najm, (2019). Uncertainty Quantification in Large Scale Computational Models https://www.osti.gov/servlets/purl/1640740 Publication ID: 69103
Xiaoying Han, Mauro Valorani, Habib Najm, (2019). Explicit time integration of the stiff chemical Langevin equations using computational singular perturbation Journal of Chemical Physics https://doi.org/10.1063/1.5093207 Publication ID: 67046
Habib Najm, (2019). Surrogate modeling and uncertainty quantification in models of physical systems https://www.osti.gov/servlets/purl/1640180 Publication ID: 68793
Panagiotis Tsilifis, Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph Oefelein, Habib Najm, Roger Ghanem, (2019). Compressive sensing adaptation for polynomial chaos expansions Journal of Computational Physics https://doi.org/10.1016/j.jcp.2018.12.010 Publication ID: 58677
Habib Najm, Xiaoying Han, Mauro Valorani, (2019). Explicit Time Integration of Stiff Chemical Langevin Equations using Computational Singular Perturbation https://www.osti.gov/servlets/purl/1644785 Publication ID: 67796
Xun Huan, Khachik Sargsyan, Habib Najm, (2019). Embedded Model Error Representation for Bayesian Model Calibration arXiv.org Repository https://www.osti.gov/servlets/purl/1529284 Publication ID: 58730
Christian Soize, Roger Ghanem, Cosmin Safta, Xun Huan, Zachary Vane, Joseph Oefelein, Guilhem Lacaze, Habib Najm, (2019). Enhancing model predictability for a scramjet using probabilistic learning on manifolds AIAA Journal https://doi.org/10.2514/1.j057069 Publication ID: 58678
Tiernan Casey, Habib Najm, (2019). Estimating the joint distribution of rate parameters across multiple reactions in the absence of experimental data Proceedings of the Combustion Institute https://doi.org/10.1016/j.proci.2018.06.190 Publication ID: 62881
Gianluca Geraci, Friedrich Menhorn, Xun Huan, Cosmin Safta, Youssef Marzouk, Habib Najm, Michael Eldred, (2019). Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFire Configuration https://www.osti.gov/servlets/purl/1582123 Publication ID: 64163
Kenny Chowdhary, Cosmin Safta, Habib Najm, (2018). Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques Journal of Computational Physics https://doi.org/10.1016/j.jcp.2018.07.004 Publication ID: 64063
Cosmin Safta, Habib Najm, Xun Huan, Joseph Oefelein, (2018). Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations https://www.osti.gov/servlets/purl/1581581 Publication ID: 60670
Habib Najm, Roger Ghanem, Michael Eldred, (2018). Design Optimization under Uncertainty in Large Scale Computational Models https://www.osti.gov/servlets/purl/1594692 Publication ID: 60189
Habib Najm, (2018). Uncertainty Quantification in Computational Models of Large Scale Physical Systems https://www.osti.gov/servlets/purl/1593073 Publication ID: 59652
Habib Najm, (2018). Uncertainty Quantification with Missing Data https://www.osti.gov/servlets/purl/1593576 Publication ID: 59656
Habib Najm, (2018). Uncertainty Quantification with model Error https://www.osti.gov/servlets/purl/1593577 Publication ID: 59657
Cosmin Safta, Gianluca Geraci, Michael Eldred, Habib Najm, David Riegner, Wolfgang Windl, (2018). Interatomic Potentials Models for Cu-Ni and Cu-Zr Alloys https://doi.org/10.2172/1475252 Publication ID: 59193
Mohammad Khalil, Habib Najm, (2018). Probabilistic inference of reaction rate parameters from summary statistics Combustion Theory and Modelling https://doi.org/10.1080/13647830.2017.1370557 Publication ID: 55233
Khachik Sargsyan, Xun Huan, Habib Najm, (2018). Bayesian Framework for Embedded Model Error Representation and Quantification https://www.osti.gov/servlets/purl/1806614 Publication ID: 63235
Habib Najm, (2018). Enabling uncertainty quantification and propagation in combustion models using statistical inference of unreported experimental data https://www.osti.gov/servlets/purl/1806648 Publication ID: 63296
Habib Najm, (2018). Estimating the joint distribution of rate parameters across multiple reactions in the absence of experimental data https://www.osti.gov/servlets/purl/1806649 Publication ID: 63297
Cosmin Safta, Xun Huan, Habib Najm, Khachik Sargsyan, Michael Eldred, Gianluca Geraci, (2018). Adaptive Sparse Quadrature for Multifidelity Scramjet Simulations https://www.osti.gov/servlets/purl/1569685 Publication ID: 63078
P. Rai, Khachik Sargsyan, Habib Najm, (2018). Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals Computer Methods in Applied Mechanics and Engineering https://doi.org/10.1016/j.cma.2018.02.026 Publication ID: 61090
Jianqiang Cheng, Richard Chen, Habib Najm, Ali Pinar, Cosmin Safta, Jean-Paul Watson, (2018). Chance-constrained economic dispatch with renewable energy and storage Computational Optimization and Applications https://doi.org/10.1007/s10589-018-0006-2 Publication ID: 45606
Xun Huan, Khachik Sargsyan, Habib Najm, (2018). Choosing Embedding for Capturing Model Misspecification https://www.osti.gov/servlets/purl/1529749 Publication ID: 62692
Eric Hermes, Prashant Rai, Khachik Sargsyan, Judit Zador, Habib Najm, (2018). Optimization of low-rank tensor functional approximations https://www.osti.gov/servlets/purl/1525693 Publication ID: 62439
Tiernan Casey, Habib Najm, (2018). Parameter estimation for system submodels with limited or missing data using a data-free inference procedure https://www.osti.gov/servlets/purl/1515742 Publication ID: 62181
Xun Huan, Cosmin Safta, Khachik Sargsyan, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2018). Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions https://doi.org/10.1137/17M1141096 Publication ID: 61717
Cosmin Safta, Xun Huan, Khachik Sargsyan, Habib Najm, Michael Eldred, Gianluca Geraci, (2018). Sparse multifidelity approximations for forward UQ https://www.osti.gov/servlets/purl/1510682 Publication ID: 61747
Habib Najm, (2018). Foundations of Uncertainty Quantification https://www.osti.gov/servlets/purl/1508911 Publication ID: 61646
Habib Najm, (2018). Statistical Inverse Problems and Bayesian Inference https://www.osti.gov/servlets/purl/1508912 Publication ID: 61647
Habib Najm, (2018). Forward Propagation of Uncertainty https://www.osti.gov/servlets/purl/1508913 Publication ID: 61648
Habib Najm, (2018). Advanced Topics in UQ https://www.osti.gov/servlets/purl/1508914 Publication ID: 61649
Habib Najm, (2018). Accounting for model Error in UQ https://www.osti.gov/servlets/purl/1508915 Publication ID: 61650
Habib Najm, (2018). Uncertainty Quantification in Computational Models https://www.osti.gov/servlets/purl/1503759 Publication ID: 61251
Xun Huan, Cosmin Safta, Khachik Sargsyan, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2018). Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations AIAA Journal https://doi.org/10.2514/1.J056278 Publication ID: 57736
Habib Najm, Bert Debusschere, Neil Sparks, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Zachary Vane, Michael 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 ? https://www.osti.gov/servlets/purl/1572447 Publication ID: 60908
Cosmin Safta, Xun Huan, Gianluca Geraci, Michael Eldred, Khachik Sargsyan, Zachary Vane, Joseph Oefelein, Habib Najm, (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations https://www.osti.gov/servlets/purl/1513486 Publication ID: 58676
Xun Huan, Cosmin Safta, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2018). Global sensitivity analysis and estimation of model error, toward uncertainty quantification in scramjet computations AIAA Journal https://doi.org/10.2514/1.J056278 Publication ID: 60730
Bert Debusschere, J. Templeton, Cosmin Safta, Khachik Sargsyan, Ali Pinar, Habib Najm, (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations https://www.osti.gov/servlets/purl/1513665 Publication ID: 58794
Xun Huan, Gianluca Geraci, Zachary Vane, Cosmin Safta, Michael Eldred, Joseph Oefelein, Habib Najm, Khachik Sargsyan, (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations https://doi.org/10.2514/6.2018-1180 Publication ID: 58547
Bert Debusschere, J. Templeton, Cosmin Safta, Khachik Sargsyan, Ali Pinar, Habib Najm, (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations https://www.osti.gov/servlets/purl/1512381 Publication ID: 58575
Xun Huan, Gianluca Geraci, Cosmin Safta, Michael Eldred, Khachik Sargsyan, Zachary Vane, Joseph Oefelein, Habib Najm, (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations https://doi.org/10.2514/6.2018-1180 Publication ID: 58602
Tiernan Casey, Habib Najm, (2018). Inference and combination of missing data sets for investigation of H2O2 thermal decomposition rate uncertainty https://www.osti.gov/servlets/purl/1512395 Publication ID: 58611
Khachik Sargsyan, Cosmin Safta, Daniel Ricciuto, Peter Thornton, Habib Najm, Xun Huan, (2017). Embedded Model Error Representation and Propagation in Climate Models https://www.osti.gov/servlets/purl/1512030 Publication ID: 54686
Tiernan Casey, Habib Najm, (2017). Missing experimental data and rate parameter inference for H2+OH=H2O+H https://www.osti.gov/servlets/purl/1479242 Publication ID: 53752
Prashant Rai, Khachik Sargsyan, Habib Najm, Matthew Hermes, So Hirata, (2017). Low-rank canonical-tensor decomposition of potential energy surfaces: application to grid-based diagrammatic vibrational Green’s function theory Molecular Physics https://doi.org/10.1080/00268976.2017.1288937 Publication ID: 52923
Bert Debusschere, Francesco Rizzi, Karla Morris, Khachik Sargsyan, Cosmin Safta, Habib Najm, Omar Knio, Paul Mycek, Andres Contreras, Le Olivier, (2017). Probabilistic Approach to Enable Extreme-Scale Simulations under Uncertainty and System Faults https://www.osti.gov/servlets/purl/1470926 Publication ID: 58435
Habib Najm, (2017). Some Comments on the Future of Uncertainty Quantification Research https://www.osti.gov/servlets/purl/1470683 Publication ID: 58365
Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Zachary Vane, Michael 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 https://www.osti.gov/servlets/purl/1574094 Publication ID: 58225
Habib Najm, Tiernan Casey, Mohammad Khalil, (2017). Parameter Estimation in Chemical Systems https://www.osti.gov/servlets/purl/1465086 Publication ID: 57996
Habib Najm, (2017). An Introduction to Statistical Inverse Problems and Bayesian Inference https://www.osti.gov/servlets/purl/1465087 Publication ID: 57997
Bert Debusschere, Ali Pinar, Khachik Sargsyan, J. Templeton, Habib Najm, (2017). Predictive Fidelity Interpretability and Resilience of Machine Learning Methods Applied to Scientific Simulations https://www.osti.gov/servlets/purl/1508933 Publication ID: 58088
Jacky Lao, Cosmin Safta, Jacky Lao, Cosmin Safta, Habib Najm, (2017). Sampling Complex Distributions with Transitional Markov Chain Monte Carlo https://www.osti.gov/servlets/purl/1507507 Publication ID: 57441
Habib Najm, Khachik Sargsyan, Xun Huan, Mohammad Khalil, Layal Hakim, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, (2017). Bayesian Estimation of Model Error in Physical Systems https://www.osti.gov/servlets/purl/1462640 Publication ID: 57594
Xun Huan, Khachik Sargsyan, Habib Najm, (2017). A Non-Intrusive Embedding Approach for Statistical Characterization of Model Error https://www.osti.gov/servlets/purl/1462642 Publication ID: 57596
Xun Huan, Khachik Sargsyan, Habib Najm, (2017). Bayesian Model Calibration with an Embedded Statistical Characterization of Model Error https://www.osti.gov/servlets/purl/1462643 Publication ID: 57597
Habib Najm, Kenny Chowdhary, (2017). Inference given summary statistics Handbook of Uncertainty Quantification https://www.osti.gov/biblio/1227182 Publication ID: 45191
Habib Najm, Tiernan Casey, Mohammad Khalil, (2017). Statistical Inference given Summary Statistics in Chemical Models https://www.osti.gov/servlets/purl/1506217 Publication ID: 57004
Lijin Wang, Xiaoying Han, Yanzhao Cao, Habib Najm, (2017). Computational singular perturbation analysis of stochastic chemical systems with stiffness Journal of Computational Physics https://doi.org/10.1016/j.jcp.2017.01.040 Publication ID: 52618
Tiernan Casey, Mohammad Khalil, Habib Najm, (2017). Inference of H2O2 thermal decomposition rate parameters from experimental statistics https://www.osti.gov/servlets/purl/1456745 Publication ID: 56074
Xun Huan, Khachik Sargsyan, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2017). Quantifying Uncertainty from Model Error in Turbulent Combustion Applications https://www.osti.gov/servlets/purl/1456433 Publication ID: 55632
Cosmin Safta, Eric Phipps, Habib Najm, (2017). Intrusive UQ Algorithms for Emerging Computing Platforms https://www.osti.gov/servlets/purl/1456382 Publication ID: 55561
Habib Najm, Khachik Sargsyan, Xun Huan, L Hakim, Mohammad Khalil, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, (2017). Model Error and Statistical Calibration of https://www.osti.gov/servlets/purl/1426633 Publication ID: 55340
Xun Huan, Cosmin Safta, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Khachik Sargsyan, Habib Najm, (2017). Robust Compressive Sensing with Application to Multifidelity Analysis of Complex Turbulent Flows https://www.osti.gov/servlets/purl/1427446 Publication ID: 55202
Cosmin Safta, Myra Blaylock, J. Templeton, Stefan Domino, Khachik Sargsyan, Habib Najm, (2017). Uncertainty quantification in LES of channel flow International Journal for Numerical Methods in Fluids https://doi.org/10.1002/fld.4272 Publication ID: 41556
Habib Najm, (2017). An Overview of the QUEST Institute https://www.osti.gov/servlets/purl/1455319 Publication ID: 54876
Riccardo Malpica Galassi, Mauro Valorani, Habib Najm, Cosmin Safta, Mohammad Khalil, Pietro Ciottoli, (2017). Chemical model reduction under uncertainty Combustion and Flame https://www.osti.gov/servlets/purl/1268977 Publication ID: 44045
Tiernan Casey, Mohammad Khalil, Habib Najm, (2017). Inference of H2O2 thermal decomposition rate parameters from experimental statistics 10th U.S. National Combustion Meeting https://www.osti.gov/servlets/purl/1456538 Publication ID: 55843
Xun Huan, Cosmin Safta, Khachik Sargsyan, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2017). Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design https://doi.org/10.2514/6.2017-1089 Publication ID: 52795
Mohammad Khalil, K. Chowdhary, Cosmin Safta, Khachik Sargsyan, Habib Najm, (2017). Inference of reaction rate parameters based on summary statistics from experiments Proceedings of the Combustion Institute https://doi.org/10.1016/j.proci.2016.08.058 Publication ID: 50088
Tiernan Casey, Habib Najm, (2017). Missing experimental data and rate parameter inference for H2+OH=H2O+H 2017 Fall Technical Meeting of the Western States Section of the Combustion Institute, WSSCI 2017 https://www.osti.gov/servlets/purl/1479248 Publication ID: 53751
Khachik Sargsyan, Cosmin Safta, Habib Najm, Bert Debusschere, Dan Ricciuto, Peter Thornton, (2016). Weighted Iterative Bayesian Compressive Sensing (WIBCS) for High Dimensional Polynomial Surrogate Construction https://www.osti.gov/servlets/purl/1576186 Publication ID: 48156
Xun Huan, Cosmin Safta, Khachik Sargsyan, Gianluca Geraci, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Habib Najm, (2016). Global Sensitivity Analysis and Quantification of Model Form Error for Large Eddy Simulation of Scramjet Design https://www.osti.gov/servlets/purl/1413414 Publication ID: 48116
Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, Michael 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 ? https://www.osti.gov/servlets/purl/1420843 Publication ID: 47626
Habib Najm, Khachik Sargsyan, Xun Huan, Mohammad Khalil, Layal Hakim, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, (2016). Uncertainty Quantification with Model Error https://www.osti.gov/servlets/purl/1397104 Publication ID: 52533
Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Xun Huan, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, Michael 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 https://www.osti.gov/servlets/purl/1397105 Publication ID: 52534
Habib Najm, (2016). Chemical Model Reduction under Uncertainty https://www.osti.gov/servlets/purl/1527238 Publication ID: 52536
Habib Najm, (2016). An Introduction to Bayesian Inference https://www.osti.gov/servlets/purl/1397107 Publication ID: 52538
Habib Najm, (2016). Optimization under Uncertainty – Scramjet and Power Grid – https://www.osti.gov/servlets/purl/1389706 Publication ID: 52069
Habib Najm, Khachik Sargsyan, Xun Huan, Layal Hakim, Joseph Oefelein, Guilhem Lacaze, Zachary Vane, (2016). Uncertainty Quantification with Model Error https://www.osti.gov/servlets/purl/1527218 Publication ID: 52156
Kenny Chowdhary, Habib Najm, (2016). Bayesian estimation of Karhunen-Loève expansions; A random subspace approach Journal of Computational Physics https://doi.org/10.1016/j.jcp.2016.02.056 Publication ID: 42319
Rebecca Harmon, Mohammad Khalil, Habib Najm, Cosmin Safta, (2016). Convergence study in global sensitivity analysis https://doi.org/10.2172/1561829 Publication ID: 51622
Joseph Heindel, Prashant Rai, Ahren Jasper, Khachik Sargsyan, Habib Najm, (2016). Low-rank decomposition of potential energy surfaces for rovibrational properties at high energies https://www.osti.gov/servlets/purl/1373066 Publication ID: 51259
Jonathan Wang, Habib Najm, Mohammad Khalil, Jonathan Freund, (2016). Global Sensitivity Analysis for Fields: A Demonstration for Hydrogen Autoignition https://www.osti.gov/servlets/purl/1373231 Publication ID: 51267
Habib Najm, Khachik Sargsyan, Xun Huan, J Bender, R Ghanem, (2016). On Model Error and Statistical Calibration of Physical Models https://www.osti.gov/servlets/purl/1529794 Publication ID: 51268
Xun Huan, Cosmin Safta, Michael Eldred, Zachary Vane, Guilhem Lacaze, Joseph Oefelein, Khachik Sargsyan, Habib Najm, (2016). Global Sensitivity Analysis for Large Eddy Simulation Models https://www.osti.gov/servlets/purl/1372012 Publication ID: 51034
Rebecca Harmon, Habib Najm, Mohammad Khalil, (2016). A Convergence Study in Global Sensitivity Analysis (presentation) https://www.osti.gov/servlets/purl/1372190 Publication ID: 51111
Rebecca Harmon, Habib Najm, Mohammad Khalil, (2016). A Convergence Study in Global Sensitivity Analysis https://www.osti.gov/servlets/purl/1372191 Publication ID: 51112
Mohammad Khalil, Kamaljit Chowdhary, Cosmin Safta, Khachik Sargsyan, Habib Najm, (2016). Inference of reaction rate parameters based on summary statistics from experiments https://doi.org/10.1016/j.proci.2016.08.058 Publication ID: 51426
Habib Najm, (2016). Reacting Flow Modeling with Detailed Chemical Kinetics https://www.osti.gov/servlets/purl/1877834 Publication ID: 50534
Cosmin Safta, Richard Chen, Habib Najm, Ali Pinar, Jean-Paul Watson, (2016). A Sparse Quadrature Approach for Stochastic Optimization in Power Grid Models https://www.osti.gov/servlets/purl/1367949 Publication ID: 50837
Khachik Sargsyan, Xun Huan, Habib Najm, Jason Bender, (2016). Density Estimation Framework for Model Error Quantification https://www.osti.gov/servlets/purl/1368714 Publication ID: 50301
Joseph Oefelein, Layal Hakim, Guilhem Lacaze, Mohammad Khalil, Khachik Sargsyan, Habib Najm, (2016). Parameter Estimation and Uncertainty Quantification in Turbulent Combustion Computations https://www.osti.gov/servlets/purl/1366683 Publication ID: 49208
Mohammad Khalil, Habib Najm, Kamaljit Chowdhary, Cosmin Safta, Khachik Sargsyan, (2016). Probabilistic Inference of Model Parameters and Missing High-Dimensional Data Based on Summary Statistics https://www.osti.gov/servlets/purl/1618243 Publication ID: 49171
Khachik Sargsyan, Dan Ricciuto, Peter Thornton, Cosmin Safta, Bert Debusschere, Habib Najm, (2016). Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model https://www.osti.gov/servlets/purl/1366666 Publication ID: 49199
Khachik Sargsyan, Xun Huan, Habib Najm, (2016). Density Estimation Framework for Model Error Quantification https://www.osti.gov/servlets/purl/1366667 Publication ID: 49200
Habib Najm, Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Joseph Oefelein, Guilhem Lacaze, Michael Eldred, Omar Knio, G. Scovazzi, Y. Marzouk, R. Ghanem, (2016). Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine https://www.osti.gov/servlets/purl/1530652 Publication ID: 49101
Cosmin Safta, Richard Chen, Ali Pinar, Habib Najm, Jean-Paul Watson, (2016). Employing Sparse Quadrature for Stochastic Optimization in Power Grids https://www.osti.gov/servlets/purl/1618230 Publication ID: 49135
Cosmin Safta, Jianqiang Cheng, Richard Chen, Ali Pinar, Habib Najm, Jean-Paul Watson, (2016). Surrogate-based model for optimization under uncertainty https://www.osti.gov/servlets/purl/1618234 Publication ID: 49142
Habib Najm, (2016). Uncertainty Quantification in Computational Models https://www.osti.gov/servlets/purl/1346524 Publication ID: 48581
Bert Debusschere, Habib Najm, Khachik Sargsyan, Kamaljit 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 [Poster] https://www.osti.gov/servlets/purl/1239394 Publication ID: 46817
Bert Debusschere, Habib Najm, Khachik Sargsyan, Kamaljit Chowdhary, Don Lucas, Vera Bulaevskaya, Yun Qian, Steve Ghan, Daniele Rosa, William Collins, (2015). Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error https://www.osti.gov/servlets/purl/1338030 Publication ID: 41809
Habib Najm, R.C. Galassi, M. Valorani, (2015). Chemical Model Reduction under Uncertainty https://www.osti.gov/servlets/purl/1338156 Publication ID: 42116
Francesco Rizzi, Omar Knio, Reese Jones, Helgi Adalsteisson, Habib Najm, Khachik Sargsyan, Maher Salloum, Cosmin Safta, Bert Debusschere, (2015). UQ in Molecular Dynamics Simulations: Forward and Inverse Problem https://www.osti.gov/servlets/purl/1335540 Publication ID: 41880
Khachik Sargsyan, Cosmin Safta, Habib Najm, Bert Debusschere, Dan Ricciuto, Peter Thornton, (2015). Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing https://www.osti.gov/servlets/purl/1335739 Publication ID: 41907
Habib Najm, (2015). Optimization and Uncertainty Quantification https://www.osti.gov/servlets/purl/1333804 Publication ID: 41749
Habib Najm, (2015). Uncertainty Quantification in Computational Models https://www.osti.gov/servlets/purl/1332657 Publication ID: 46301
J. Templeton, Myra Blaylock, Stefan Domino, John Hewson, Pritvi Kumar, Julia Ling, Habib Najm, Anthony Ruiz, Cosmin Safta, Khachik Sargsyan, Alessia Stewart, Gregory Wagner, (2015). Calibration and Forward Uncertainty Propagation for Large-eddy Simulations of Engineering Flows https://doi.org/10.2172/1221181 Publication ID: 45562
Cosmin Safta, Richard Chen, Habib Najm, Ali Pinar, Jean-Paul Watson, (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations https://www.osti.gov/servlets/purl/1301962 Publication ID: 44869
Habib Najm, Khachik Sargsyan, Kamaljit Chowdhary, Mohammad Khalil, (2015). Computational Statistical Inverse Problems with Sparse or Missing Data https://www.osti.gov/servlets/purl/1312660 Publication ID: 45189
Khachik Sargsyan, Prashant Rai, Habib Najm, Matthew Hermes, So Hirata, (2015). Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals https://doi.org/10.2172/1221857 Publication ID: 45276
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier LeMaitre, Omar Knio, Habib Najm, Bert Debusschere, (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults https://www.osti.gov/servlets/purl/1326569 Publication ID: 45304
Connie Chen, Habib Najm, Mohammad Khalil, (2015). Global Sensitivity Analysis for Chemical Kinetics of Hydrocarbon Combustion [Poster] https://www.osti.gov/servlets/purl/1339328 Publication ID: 44644
Connie Chen, Habib Najm, Mohammad Khalil, (2015). Global Sensitivity Analysis for Chemical Kinetics of Hydrocarbon Combustion [PowerPoint] https://www.osti.gov/servlets/purl/1339331 Publication ID: 44647
Prashant Rai, Khachik Sargsyan, Habib Najm, So Hirata, Hermes Matthew, (2015). Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals https://www.osti.gov/servlets/purl/1266829 Publication ID: 44431
Khachik Sargsyan, Habib Najm, Bender Jason, Roger Ghanem, (2015). Density Estimation Framework for Model Error Assessment https://www.osti.gov/servlets/purl/1279688 Publication ID: 44743
Khachik Sargsyan, Khachik Sargsyan, Cosmin Safta, Cosmin Safta, Bert Debusschere, Bert Debusschere, Habib Najm, Habib Najm, Francesco Rizzi, Francesco Rizzi, Karla Morris, Karla Morris, Paul Mycek, Paul Mycek, Olivier Maitre, Olivier Maitre, Omar Knio, Omar Knio, (2015). Fault Resilient Domain Decomposition Preconditioner for PDEs https://doi.org/10.2172/1494624 Publication ID: 43981
Maher Salloum, Khachik Sargsyan, Reese Jones, Francesco Rizzi, Habib Najm, Bert Debusschere, (2015). Quantifying Sampling Noise and Parametric Uncertainty in Coupled Atomistic-Continuum Simulations https://www.osti.gov/servlets/purl/1258267 Publication ID: 43585
Khachik Sargsyan, Cosmin Safta, Habib Najm, Bert Debusschere, Daniel Ricciuto, Peter Thornton, (2015). High-Dimensional Sparse Surrogate Construction via Bayesian Compressive Sensing https://www.osti.gov/servlets/purl/1249469 Publication ID: 43203
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Cosmin Safta, Paul Mycek, Olivier LeMaitre, Habib Najm, Omar Knio, Bert Debusschere, (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults https://www.osti.gov/servlets/purl/1531275 Publication ID: 42991
Habib Najm, Khachik Sargsyan, Jason Bender, R Ghanem, (2015). Accounting for Model Error in the Calibration of Physical Models https://www.osti.gov/servlets/purl/1245918 Publication ID: 42523
Cosmin Safta, Richard Chen, Habib Najm, Ali Pinar, Jean-Paul Watson, (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations https://www.osti.gov/servlets/purl/1331642 Publication ID: 42563
Habib Najm, Khachik Sargsyan, Jason Bender, R. Ghanem, (2015). Handling Model Error in the Calibration of Physical Models https://www.osti.gov/servlets/purl/1245934 Publication ID: 42747
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier LeMaitre, Omar Knio, Habib Najm, Bert Debusschere, (2015). Partial Differential Equations Solver Resilient to Soft and Hard Faults https://www.osti.gov/servlets/purl/1238560 Publication ID: 41559
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib Najm, (2015). Hybrid discrete/continuum algorithms for stochastic reaction networks Journal of Computational Physics https://doi.org/10.1016/j.jcp.2014.10.026 Publication ID: 31741
Cosmin Safta, Khachik Sargsyan, Habib Najm, Kenny Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2015). Probabilistic methods for sensitivity analysis and calibration in the NASA challenge problem Journal of Aerospace Information Systems https://doi.org/10.2514/1.I010256 Publication ID: 40146
Maher Salloum, Khachik Sargsyan, Reese Jones, Francesco Rizzi, Habib Najm, Bert Debusschere, (2014). Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models https://doi.org/10.1137/140989601 Publication ID: 39965
Zhen Liu, Joseph Pinto, Alexander Turner, Lori Bruhwiler, Daven Henze, Jerome Brioude, Nicolas Bousserez, Khachik Sargsyan, Cosmin Safta, Habib Najm, Brian LaFranchi, Ray Bambha, Hope Michelsen, (2014). Contribution of Oil and Gas Production to Atmospheric CH4 int eh South-Central United States: Reconciling bottom-up and top-down estimates https://www.osti.gov/servlets/purl/1315004 Publication ID: 39873
Khachik Sargsyan, Habib Najm, Cosmin Safta, Bert Debusschere, D ricciuto, P Thornton, (2014). Parameter Estimation in High-Dimensional Climate Models https://www.osti.gov/servlets/purl/1504061 Publication ID: 39875
Khachik Sargsyan, Habib Najm, Cosmin Safta, Hope Michelsen, Ray Bambha, Zhen Liu, Bart van Bloemen Waanders, (2014). Density Estimation Framework for Model Error Assessmen https://www.osti.gov/servlets/purl/1504062 Publication ID: 39876
Cosmin Safta, Richard Chen, Habib Najm, Ali Pinar, Jean-Paul Watson, (2014). Toward using surrogates to accelerate solution of stochastic electricity grid operations problems 2014 North American Power Symposium, NAPS 2014 https://doi.org/10.1109/NAPS.2014.6965425 Publication ID: 38413
Habib Najm, (2014). Uncertainty Quantification in Computational Models https://www.osti.gov/servlets/purl/1242141 Publication ID: 39359
Habib Najm, (2014). High-Dimensionality Challenges in Uncertainty Quantification https://www.osti.gov/servlets/purl/1241738 Publication ID: 38857
Zhen Liu, Cosmin Safta, Khachik Sargsyan, Habib Najm, Bart van Bloemen Waanders, Brian LaFranchi, Mark Ivey, Paul Schrader, Hope Michelsen, Ray Bambha, (2014). Greenhouse Gas Source Attribution: Measurements Modeling and Uncertainty Quantification https://doi.org/10.2172/1322290 Publication ID: 38662
Kushal Kedia, Cosmin Safta, Jaideep Ray, Habib Najm, Ahmed Ghoniem, (2014). A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid Journal of Computational Physics https://www.osti.gov/biblio/1106257 Publication ID: 34917
Hope Michelsen, Zhen Liu, Ray Bambha, Brian LaFranchi, Khachik Sargsyan, Cosmin Safta, Habib Najm, Paul Schrader, (2014). Sandia?s Work on Verifying CH4 Emissions https://www.osti.gov/servlets/purl/1502756 Publication ID: 38546
Cosmin Safta, Habib Najm, Eric Phipps, (2014). Numerical Continuation Methods for Intrusive Uncertainty Quantification Studies https://doi.org/10.2172/1323376 Publication ID: 38612
Habib Najm, (2014). Uncertainty Quantification Bayesian Inference and Analysis of Models https://www.osti.gov/servlets/purl/1497531 Publication ID: 37990
Habib Najm, Kamaljit Chowdhary, (2014). Data free inference with processed data products Statistics and Computing https://doi.org/10.1007/s11222-014-9484-y Publication ID: 36039
Francesco Rizzi, Khachik Sargsyan, Bert Debusschere, Cosmin Safta, Karla Morris, Omar Knio, Habib Najm, (2014). Towards a Probabilistic Approach to Extreme-Scale Simulations under Uncertainty and System Faults https://www.osti.gov/servlets/purl/1569398 Publication ID: 37661
Jiankun Shao, Mohammad Khalil, Habib Najm, (2014). uncertainty quantification https://www.osti.gov/servlets/purl/1496102 Publication ID: 37713
Hope Michelsen, Ray Bambha, Zhen Liu, Paul Schrader, Mark Ivey, Erika Roesler, Mark Taylor, Brian LaFranchi, Frederick Helsel, Habib Najm, Khachik Sargsyan, Cosmin Safta, (2014). Black Carbon Methane and Carbon Dioxide: Measurement Modeling and Source Attribution https://www.osti.gov/servlets/purl/1494427 Publication ID: 37741
Michael Eldred, Bert Debusschere, Kamaljit Chowdhary, John Jakeman, Habib Najm, Cosmin Safta, Khachik Sargsyan, (2014). Sandia Software Enabling Extreme-Scale Uncertainty Quantification https://www.osti.gov/servlets/purl/1494264 Publication ID: 37782
Habib Najm, Michael Eldred, Bert Debusschere, Kamaljit Chowdhary, John Jakeman, Cosmin Safta, Khachik Sargsyan, (2014). An Overview of Select UQ Algorithms and their Utility in Applications https://www.osti.gov/servlets/purl/1494413 Publication ID: 37818
Ali Pinar, Cosmin Safta, Richard Chen, Habib Najm, Jean-Paul Watson, (2014). Probabilistic Methods for Power Grid Networks https://www.osti.gov/servlets/purl/1496919 Publication ID: 37564
Cosmin Safta, Richard Chen, Habib Najm, Ali Pinar, Jean-Paul Watson, (2014). Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems https://doi.org/10.1109/NAPS.2014.6965425 Publication ID: 40817
Habib Najm, (2014). Overview of the QUEST Institute https://www.osti.gov/servlets/purl/1142900 Publication ID: 40632
Bert Debusschere, Cosmin Safta, Habib Najm, (2014). Bayesian Compressive Sensing Framework https://www.osti.gov/servlets/purl/1141438 Publication ID: 40246
Cosmin Safta, Khachik Sargsyan, Bert Debusschere, Habib Najm, (2014). Bayesian discontinuity detection and surrogate construction for complex computer models https://www.osti.gov/servlets/purl/1142115 Publication ID: 40288
Bert Debusschere, Khachik Sargsyan, Francesco Rizzi, Cosmin Safta, Karla Morris, Habib Najm, (2014). Probabilistic Approaches for Fault-Tolerance and Scalability in Extreme-Scale Computing https://www.osti.gov/servlets/purl/1141119 Publication ID: 37274
Habib Najm, Mauro Valorani, (2014). Enforcing positivity in intrusive PC-UQ methods for reactive ODE systems Journal of Computational Physics https://doi.org/10.1016/j.jcp.2014.03.061 Publication ID: 34999
Khachik Sargsyan, Habib Najm, Kamaljit Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2014). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis https://doi.org/10.2514/6.2014-1497 Publication ID: 36802
Habib Najm, Kamaljit Chowdhary, Khachik Sargsyan, Bert Debusschere, (2013). Inference of Chemical Model Parameters given Partial Information https://www.osti.gov/servlets/purl/1121920 Publication ID: 31788
Khachik Sargsyan, Bert Debusschere, Habib Najm, (2013). Global Sensitivity Analysis and Parameter Calibration for an Ecosystem Carbon Model https://www.osti.gov/servlets/purl/1122345 Publication ID: 31837
Khachik Sargsyan, Habib Najm, Kamaljit Chowdhary, Bert Debusschere, Laura Swiler, Michael Eldred, (2013). Uncertainty Quantification Methods for Model Calibration Validation and Risk Analysis https://doi.org/10.2514/6.2014-1497 Publication ID: 31866
Habib Najm, (2013). Uncertainty Quantification in Computational Models https://www.osti.gov/servlets/purl/1120429 Publication ID: 36682
Bert Debusschere, Cosmin Safta, Khachik Sargsyan, Habib Najm, (2013). Hybrid Discrete / Continuum Algorithms for Stochastic Reaction Networks https://www.osti.gov/servlets/purl/1673517 Publication ID: 36133
Habib Najm, (2013). Uncertainty Quantification in Computational Models https://www.osti.gov/servlets/purl/1113137 Publication ID: 35856
Habib Najm, (2013). QUEST UQ Methods & Tools Connections to SUPER Research Areas https://www.osti.gov/servlets/purl/1111315 Publication ID: 35786
Cosmin Safta, Bert Debusschere, Khachik Sargsyan, Habib Najm, (2013). Hybrid Discrete – Continuum Algorithms for Stochastic Reaction Networks https://www.osti.gov/servlets/purl/1106462 Publication ID: 34957
Bert Debusschere, Habib Najm, Khachik Sargsyan, Cosmin Safta, (2013). Probabilistic Approaches for Communication Avoidance and Resilience in Exascale Simulations https://www.osti.gov/servlets/purl/1140465 Publication ID: 35230
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