Habib N. Najm

Senior Scientist, Combustion Research Facility

Author profile picture

Senior Scientist, Combustion Research Facility

hnnajm@sandia.gov

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

PhDMechanical EngineeringMassachusetts Institute of Technology1989
SMMechanical Engineering Massachusetts Institute of Technology1986
BEMechanical EngineeringAmerican University of Beirut1983

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 SocietyMember
Society of Industrial and Applied MathematicsMember
Combustion InstituteMember
American University of Beirut, LebanonMember, Department Advisory Board, Mechanical Engineering Department
Auburn UniversityAffiliated Professor, Dept. of Mathematics and Statistics
East Asian Journal of Applied MathematicsAssociate Editor
International Journal for Uncertainty Quantification, Begellhouse, Inc.Editor in Chief
Journal of Uncertainty Quantification, SIAM-ASAAssociate Editor
American Institute of Mathematical SciencesAssociate 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

  • Han, X., Najm, H.N., & Najm, H.N. (2022). Modeling Fast Diffusion Processes in Time Integration of Stiff Stochastic Differential Equations. Communications on Applied Mathematics and Computation, 4(4), pp. 1457-1493. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85132437736&origin=inward Publication ID: 71901
  • D’Elia, M., Bochev, P., Foster, J., Glusa, C., Gulian, M., Gunzburger, M., Trageser, J., Kuhlman, K., Martinez, M., Najm, H.N., Silling, S., Tupek, M., Xu, X., & Xu, X. (2022). Mathematical Foundations for Nonlocal Interface Problems: Multiscale Simulations of Heterogeneous Materials (Final LDRD Report). https://doi.org/10.2172/1888162 Publication ID: 80232
  • Safta, C., Sparapany, M., Grant, M., Najm, H.N., & Najm, H.N. (2022). Trajectory design via unsupervised probabilistic learning on optimal manifolds. Data-Centric Engineering, 3. https://doi.org/10.1017/dce.2022.26 Publication ID: 80143
  • Younkin, T., Sargsyan, K., Casey, T., Najm, H.N., Canik, J., Green, D., Doerner, R., Nishijima, D., Baldwin, M., Drobny, J., Curreli, D., Wirth, B., & Wirth, B. (2022). Quantification of the effect of uncertainty on impurity migration in PISCES-A simulated with GITR. Nuclear Fusion, 62(5). https://doi.org/10.1088/1741-4326/ac2bfa Publication ID: 80875
  • Najm, H.N., Yang, Y., Zador, J., Eldred, M., & Eldred, M. (2021). Surrogate models and physics constraints in atomistic modeling [Conference Presenation]. https://doi.org/10.2172/1903685 Publication ID: 77137
  • Najm, H.N. (2021). Machine Learning in Computational Science [Conference Presenation]. https://doi.org/10.2172/1899485 Publication ID: 76591
  • Safta, C., Najm, H.N., Diaz-Ibarra, O., Kim, K., & Kim, K. (2021). TChem v3.0: A Software Toolkit for the Analysis of Complex Kinetic Models. https://doi.org/10.2172/1829197 Publication ID: 76644
  • Diaz-Ibarra, O., Kim, K., Safta, C., Najm, H.N., & Najm, H.N. (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
  • Najm, H.N., Sargsyan, K., Kim, K., Goldsmith, C., West, R., Bylaska, E., Bross, D., Ruscic, B., Safta, C., Zador, J., Blais, C., Blöndal, K., Diaz-Ibarra, O., Hermes, E., Mazeau, E., & Mazeau, E. (2021). Exascale Catalytic Chemistry (ECC) [Conference Poster]. https://doi.org/10.2172/1890393 Publication ID: 76037
  • Hermes, E., Blondal, K., Kreitz, B., Sargsyan, K., Najm, H.N., Zador, J., Goldsmith, C., West, R., & West, R. (2021). Application of a Novel Saddle Point Optimization Algorithm on Surface Reactions Involving Bidentate Adsorbates [Conference Poster]. https://doi.org/10.2172/1890874 Publication ID: 76044
  • Hermes, E., Sargsyan, K., Najm, H.N., Zador, J., & Zador, J. (2021). Geometry optimization speedup through a geodesic approach to internal coordinates. Journal of Chemical Physics, 155(9). https://doi.org/10.1063/5.0060146 Publication ID: 75381
  • Safta, C., Najm, H.N., Grant, M., Sparapany, M., & Sparapany, M. (2021). Trajectory Optimization via Unsupervised Probabilistic Learning On Manifolds. https://doi.org/10.2172/1821958 Publication ID: 75865
  • Sargsyan, K., Johnstone, K., Dantanarayana, V., Najm, H.N., & Najm, H.N. (2021). Active Learning and Uncertainty Quantification for Machine Learning Interatomic Potentials [Conference Presenation]. https://doi.org/10.2172/1890912 Publication ID: 75904
  • Christopher, B., Diaz-Ibarra, O., Mazeau, E., Gierada, M., Hermes, E., Safta, C., Kim, K., Najm, H.N., Bylaska, E., Zador, J., Goldsmith, C., West, R., & West, R. (2021). AUTOMATIC GENERATION AND ANALYSIS OF MICROKINETIC MODELS [Conference Presenation]. https://doi.org/10.2172/1890361 Publication ID: 75926
  • Najm, H.N., Yang, Y., & Yang, Y. (2021). AEVmod – Atomic Environment Vector Module Documentation. https://doi.org/10.2172/1817835 Publication ID: 79691
  • Hudson, J., Sargsyan, K., D’Elia, M., Najm, H.N., & Najm, H.N. (2021). Analysis of Neural Networks as Dynamical Systems [Conference Presenation]. https://doi.org/10.2172/1883507 Publication ID: 79301
  • Hegde, A., Safta, C., Najm, H.N., Weiss, E., Windl, W., & Windl, W. (2021). Bayesian Calibration of Interatomic Potential Models for Binary Alloys [Conference Presenation]. https://doi.org/10.2172/1879292 Publication ID: 79538
  • Hegde, A., Safta, C., Najm, H.N., Weiss, E., Windl, W., & Windl, W. (2021). Bayesian calibration of interatomic potential models for binary alloys [Conference Presenation]. https://doi.org/10.2172/1877337 Publication ID: 78796
  • Hegde, A., Safta, C., Najm, H.N., Weiss, E., Windl, W., & Windl, W. (2021). Bayesian calibration of interatomic potential models for binary alloys [Conference Presenation]. https://doi.org/10.2172/1875384 Publication ID: 79051
  • Goussis, D.A., Im, H.G., Najm, H.N., Paolucci, S., Valorani, M., & Valorani, M. (2021). The origin of CEMA and its relation to CSP. Combustion and Flame, 227, pp. 396-401. https://doi.org/10.1016/j.combustflame.2021.01.020 Publication ID: 74417
  • Safta, C., Diaz-Ibarra, O., Kim, K., Najm, H.N., & Najm, H.N. (2021). TChem ? An Open Source Computational Chemistry Software Library for Heterogeneous Computing Platforms [Conference Presenation]. https://doi.org/10.2172/1881665 Publication ID: 78610
  • Safta, C., Diaz-Ibarra, O., Najm, H.N., Kim, K., & Kim, K. (2021). TChem – An Open Source Computational Chemistry Software Library for Heterogenous Computing Platforms [Conference Paper]. https://www.osti.gov/biblio/1862775 Publication ID: 77992
  • Najm, H.N. (2021). Some Comments on Bayesian Optimal Experimental Design [Presentation]. https://www.osti.gov/biblio/1882502 Publication ID: 78045
  • Oreluk, J., Sheps, L., Najm, H.N., & Najm, H.N. (2021). Bayesian Optimal Experimental Design for Chemical Rate Constant Measurement using Mass Spectrometry [Conference Presenation]. https://doi.org/10.2172/1855329 Publication ID: 77548
  • Diaz-Ibarra, O., Kim, K., Safta, C., Najm, H.N., & Najm, H.N. (2021). CSPlib – A Software Toolkit for the Analysis of Dynamical Systems and Chemical Kinetic Models. https://doi.org/10.2172/1810242 Publication ID: 75971
  • Diaz-Ibarra, O., Kim, K., Safta, C., Zador, J., Najm, H.N., & Najm, H.N. (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
  • Blondal, K., Sargsyan, K., Bross, D., Hermes, E., Najm, H.N., Zádor, J., Goldsmith, C., & Goldsmith, C. (2020). Including anharmonicity in adsorbate partition functions and how it affects theoretical parameter estimates for desorption of methanol from a Cu(111) surface [Conference Presenation]. https://doi.org/10.2172/1831569 Publication ID: 71767
  • Huan, X., Safta, C., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2020). Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations [Conference Poster]. https://doi.org/10.2514/6.2019-0724 Publication ID: 71172
  • Najm, H.N. (2020). Uncertainty Quantification in Large Scale Computational Models [Conference Poster]. https://www.osti.gov/biblio/1822295 Publication ID: 70930
  • Han, X., Najm, H.N., & Najm, H.N. (2019). Effective construction of eigenvectors for a class of singular sparse matrices. Applied Mathematics Letters, 97, pp. 121-126. https://doi.org/10.1016/j.aml.2019.05.018 Publication ID: 67071
  • Najm, H.N. (2019). Uncertainty Quantification in Large Scale Computational Models [Presentation]. https://www.osti.gov/biblio/1646080 Publication ID: 65731
  • Najm, H.N. (2019). Uncertainty Quantification with Model Error [Presentation]. https://www.osti.gov/biblio/1646081 Publication ID: 65732
  • Casey, T., Sargsyan, K., Najm, H.N., & Najm, H.N. (2019). Uncertainty quantification workflows in fusion plasma surface interaction modeling [Conference Poster]. https://www.osti.gov/biblio/1643062 Publication ID: 66036
  • Najm, H.N., Safta, C., Huan, X., Casey, T., Sargsyan, K., Oefelein, J., Lacaze, G., Vane, Z., Eldred, M., Geraci, G., & Geraci, G. (2019). Uncertainty Quantification in Computational Models of Large Scale Physical Systems [Conference Poster]. https://www.osti.gov/biblio/1641505 Publication ID: 70287
  • 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
  • Najm, H.N., Safta, C., Huan, X., Casey, T., Sargsyan, K., Oefelein, J., Lacaze, G., Eldred, M., Geraci, G., & Geraci, G. (2019). Uncertainty Quantification in Large Scale Computational Models [Conference Poster]. https://www.osti.gov/biblio/1641089 Publication ID: 69622
  • Gormezano, C., Casey, T., Najm, H.N., & Najm, H.N. (2019). Distance Functions for Chaotic Dynamical Systems [Conference Poster]. https://www.osti.gov/biblio/1641188 Publication ID: 69842
  • Najm, H.N. (2019). Explicit Time Integration of the Stiff Chemical Langevin Equation [Conference Poster]. https://www.osti.gov/biblio/1640628 Publication ID: 68978
  • Sargsyan, K., Younkin, T., Casey, T., Najm, H.N., Wirth, B., & Wirth, B. (2019). Uncertainty Quantification and Propagation for Impurity Migration [Conference Poster]. https://www.osti.gov/biblio/1643670 Publication ID: 68990
  • Najm, H.N. (2019). Uncertainty Quantification in Large Scale Computational Models [Conference Poster]. https://www.osti.gov/biblio/1640740 Publication ID: 69103
  • Han, X., Valorani, M., Najm, H.N., & Najm, H.N. (2019). Explicit time integration of the stiff chemical Langevin equations using computational singular perturbation. Journal of Chemical Physics, 150(19). https://doi.org/10.1063/1.5093207 Publication ID: 67046
  • Najm, H.N. (2019). Surrogate modeling and uncertainty quantification in models of physical systems [Conference Poster]. https://www.osti.gov/biblio/1640180 Publication ID: 68793
  • Tsilifis, P., Huan, X., Safta, C., Sargsyan, K., Lacaze, G., Oefelein, J.C., Najm, H.N., Ghanem, R.G., & Ghanem, R.G. (2019). Compressive sensing adaptation for polynomial chaos expansions. Journal of Computational Physics, 380, pp. 29-47. https://doi.org/10.1016/j.jcp.2018.12.010 Publication ID: 58677
  • Najm, H.N., Han, X., Valorani, M., & Valorani, M. (2019). Explicit Time Integration of Stiff Chemical Langevin Equations using Computational Singular Perturbation [Presentation]. https://www.osti.gov/biblio/1644785 Publication ID: 67796
  • Huan, X., Sargsyan, K., Najm, H.N., & Najm, H.N. (2019). Embedded Model Error Representation for Bayesian Model Calibration. arXiv.org Repository, 2019. https://www.osti.gov/biblio/1529284 Publication ID: 58730
  • Soize, C., Ghanem, R., Safta, C., Huan, X., Vane, Z.P., Oefelein, J.C., Lacaze, G., Najm, H.N., & Najm, H.N. (2019). Enhancing model predictability for a scramjet using probabilistic learning on manifolds. AIAA Journal, 57(1), pp. 365-378. https://doi.org/10.2514/1.j057069 Publication ID: 58678
  • Casey, T., Najm, H.N., & Najm, H.N. (2019). Estimating the joint distribution of rate parameters across multiple reactions in the absence of experimental data. Proceedings of the Combustion Institute, 37(1), pp. 797-805. https://doi.org/10.1016/j.proci.2018.06.190 Publication ID: 62881
  • Geraci, G., Menhorn, F., Huan, X., Safta, C., Marzouk, Y., Najm, H.N., Eldred, M., & Eldred, M. (2019). Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFire Configuration [Conference Poster]. https://www.osti.gov/biblio/1582123 Publication ID: 64163
  • Safta, C., Najm, H.N., Huan, X., Oefelein, J., & Oefelein, J. (2018). Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations [Conference Poster]. https://www.osti.gov/biblio/1581581 Publication ID: 60670
  • Chowdhary, K., Safta, C., Najm, H.N., & Najm, H.N. (2018). Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques. Journal of Computational Physics, 374, pp. 1017-1030. https://doi.org/10.1016/j.jcp.2018.07.004 Publication ID: 64063
  • Najm, H.N., Ghanem, R., Eldred, M., & Eldred, M. (2018). Design Optimization under Uncertainty in Large Scale Computational Models [Conference Poster]. https://www.osti.gov/biblio/1594692 Publication ID: 60189
  • Najm, H.N. (2018). Uncertainty Quantification in Computational Models of Large Scale Physical Systems [Conference Poster]. https://www.osti.gov/biblio/1593073 Publication ID: 59652
  • Najm, H.N. (2018). Uncertainty Quantification with Missing Data [Conference Poster]. https://www.osti.gov/biblio/1593576 Publication ID: 59656
  • Najm, H.N. (2018). Uncertainty Quantification with model Error [Conference Poster]. https://www.osti.gov/biblio/1593577 Publication ID: 59657
  • Safta, C., Geraci, G., Eldred, M., Najm, H.N., Riegner, D., Windl, W., & Windl, W. (2018). Interatomic Potentials Models for Cu-Ni and Cu-Zr Alloys. https://doi.org/10.2172/1475252 Publication ID: 59193
  • Khalil, M., Najm, H.N., & Najm, H.N. (2018). Probabilistic inference of reaction rate parameters from summary statistics. Combustion Theory and Modelling, 22(4), pp. 635-665. https://doi.org/10.1080/13647830.2017.1370557 Publication ID: 55233
  • Rai, P., Sargsyan, K., Najm, H.N., & Najm, H.N. (2018). Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals. Computer Methods in Applied Mechanics and Engineering, 336, pp. 471-484. https://doi.org/10.1016/j.cma.2018.02.026 Publication ID: 61090
  • Safta, C., Huan, X., Najm, H.N., Sargsyan, K., Eldred, M., Geraci, G., & Geraci, G. (2018). Adaptive Sparse Quadrature for Multifidelity Scramjet Simulations [Conference Poster]. https://www.osti.gov/biblio/1569685 Publication ID: 63078
  • Sargsyan, K., Huan, X., Najm, H.N., & Najm, H.N. (2018). Bayesian Framework for Embedded Model Error Representation and Quantification [Conference Poster]. https://www.osti.gov/biblio/1806614 Publication ID: 63235
  • Najm, H.N. (2018). Enabling uncertainty quantification and propagation in combustion models using statistical inference of unreported experimental data [Conference Poster]. https://www.osti.gov/biblio/1806648 Publication ID: 63296
  • Najm, H.N. (2018). Estimating the joint distribution of rate parameters across multiple reactions in the absence of experimental data [Conference Poster]. https://www.osti.gov/biblio/1806649 Publication ID: 63297
  • Cheng, J., Chen, R.L.-Y., Najm, H.N., Pinar, A., Safta, C., Watson, J., & Watson, J. (2018). Chance-constrained economic dispatch with renewable energy and storage. Computational Optimization and Applications, 70(2), pp. 479-502. https://doi.org/10.1007/s10589-018-0006-2 Publication ID: 45606
  • Hermes, E., Rai, P., Sargsyan, K., Zador, J., Najm, H.N., & Najm, H.N. (2018). Optimization of low-rank tensor functional approximations [Conference Poster]. https://www.osti.gov/biblio/1525693 Publication ID: 62439
  • Huan, X., Sargsyan, K., Najm, H.N., & Najm, H.N. (2018). Choosing Embedding for Capturing Model Misspecification [Conference Poster]. https://www.osti.gov/biblio/1529749 Publication ID: 62692
  • Casey, T., Najm, H.N., & Najm, H.N. (2018). Parameter estimation for system submodels with limited or missing data using a data-free inference procedure [Conference Poster]. https://www.osti.gov/biblio/1515742 Publication ID: 62181
  • Najm, H.N. (2018). Foundations of Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1508911 Publication ID: 61646
  • Najm, H.N. (2018). Statistical Inverse Problems and Bayesian Inference [Conference Poster]. https://www.osti.gov/biblio/1508912 Publication ID: 61647
  • Najm, H.N. (2018). Forward Propagation of Uncertainty [Conference Poster]. https://www.osti.gov/biblio/1508913 Publication ID: 61648
  • Najm, H.N. (2018). Advanced Topics in UQ [Conference Poster]. https://www.osti.gov/biblio/1508914 Publication ID: 61649
  • Najm, H.N. (2018). Accounting for model Error in UQ [Conference Poster]. https://www.osti.gov/biblio/1508915 Publication ID: 61650
  • Huan, X., Safta, C., Sargsyan, K., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2018). Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions [Conference Poster]. https://doi.org/10.1137/17M1141096 Publication ID: 61717
  • Safta, C., Huan, X., Sargsyan, K., Najm, H.N., Eldred, M., Geraci, G., & Geraci, G. (2018). Sparse multifidelity approximations for forward UQ [Conference Poster]. https://www.osti.gov/biblio/1510682 Publication ID: 61747
  • Najm, H.N. (2018). Uncertainty Quantification in Computational Models [Conference Poster]. https://www.osti.gov/biblio/1503759 Publication ID: 61251
  • Huan, X., Safta, C., Sargsyan, K., Geraci, G., Eldred, M., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2018). Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations. AIAA Journal, 56(3), pp. 1170-1184. https://doi.org/10.2514/1.J056278 Publication ID: 57736
  • 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
  • Huan, X., Geraci, G., Vane, Z., Safta, C., Eldred, M., Oefelein, J., Najm, H.N., Sargsyan, K., & Sargsyan, K. (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations [Conference Poster]. https://doi.org/10.2514/6.2018-1180 Publication ID: 58547
  • 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
  • Huan, X., Geraci, G., Safta, C., Eldred, M., Sargsyan, K., Vane, Z., Oefelein, J., Najm, H.N., & Najm, H.N. (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations [Conference Poster]. https://doi.org/10.2514/6.2018-1180 Publication ID: 58602
  • Casey, T., Najm, H.N., & Najm, H.N. (2018). Inference and combination of missing data sets for investigation of H2O2 thermal decomposition rate uncertainty [Conference Poster]. https://www.osti.gov/biblio/1512395 Publication ID: 58611
  • Safta, C., Huan, X., Geraci, G., Eldred, M., Sargsyan, K., Vane, Z., Oefelein, J., Najm, H.N., & Najm, H.N. (2018). Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations [Conference Poster]. https://www.osti.gov/biblio/1513486 Publication ID: 58676
  • 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
  • Huan, X., Safta, C., Geraci, G., Eldred, M., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2018). Global sensitivity analysis and estimation of model error, toward uncertainty quantification in scramjet computations. AIAA Journal, 56(3), pp. 1170-1184. https://doi.org/10.2514/1.J056278 Publication ID: 60730
  • Sargsyan, K., Safta, C., Ricciuto, D., Thornton, P., Najm, H.N., Huan, X., & Huan, X. (2017). Embedded Model Error Representation and Propagation in Climate Models [Conference Poster]. https://www.osti.gov/biblio/1512030 Publication ID: 54686
  • Casey, T., Najm, H.N., & Najm, H.N. (2017). Missing experimental data and rate parameter inference for H2+OH=H2O+H [Conference Poster]. https://www.osti.gov/biblio/1479242 Publication ID: 53752
  • Rai, P., Sargsyan, K., Najm, H.N., Hermes, M.R., Hirata, S., & Hirata, S. (2017). Low-rank canonical-tensor decomposition of potential energy surfaces: application to grid-based diagrammatic vibrational Green’s function theory. Molecular Physics, 115(17-18), pp. 2120-2134. https://doi.org/10.1080/00268976.2017.1288937 Publication ID: 52923
  • Najm, H.N. (2017). Some Comments on the Future of Uncertainty Quantification Research [Conference Poster]. https://www.osti.gov/biblio/1470683 Publication ID: 58365
  • 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
  • Najm, H.N., Casey, T., Khalil, M., & Khalil, M. (2017). Parameter Estimation in Chemical Systems [Conference Poster]. https://www.osti.gov/biblio/1465086 Publication ID: 57996
  • Najm, H.N. (2017). An Introduction to Statistical Inverse Problems and Bayesian Inference [Conference Poster]. https://www.osti.gov/biblio/1465087 Publication ID: 57997
  • 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
  • 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
  • Lao, J., Safta, C., Lao, J., Safta, C., Najm, H.N., & Najm, H.N. (2017). Sampling Complex Distributions with Transitional Markov Chain Monte Carlo [Presentation]. https://www.osti.gov/biblio/1507507 Publication ID: 57441
  • Najm, H.N., Sargsyan, K., Huan, X., Khalil, M., Hakim, L., Oefelein, J., Lacaze, G., Vane, Z., & Vane, Z. (2017). Bayesian Estimation of Model Error in Physical Systems [Conference Poster]. https://www.osti.gov/biblio/1462640 Publication ID: 57594
  • Huan, X., Sargsyan, K., Najm, H.N., & Najm, H.N. (2017). A Non-Intrusive Embedding Approach for Statistical Characterization of Model Error [Conference Poster]. https://www.osti.gov/biblio/1462642 Publication ID: 57596
  • Huan, X., Sargsyan, K., Najm, H.N., & Najm, H.N. (2017). Bayesian Model Calibration with an Embedded Statistical Characterization of Model Error [Conference Poster]. https://www.osti.gov/biblio/1462643 Publication ID: 57597
  • Najm, H.N., Chowdhary, K., & Chowdhary, K. (2017). Inference given summary statistics. Handbook of Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034758801&origin=inward Publication ID: 45191
  • Najm, H.N., Casey, T., Khalil, M., & Khalil, M. (2017). Statistical Inference given Summary Statistics in Chemical Models [Conference Poster]. https://www.osti.gov/biblio/1506217 Publication ID: 57004
  • Wang, L., Han, X., Cao, Y., Najm, H.N., & Najm, H.N. (2017). Computational singular perturbation analysis of stochastic chemical systems with stiffness. Journal of Computational Physics, 335, pp. 404-425. https://doi.org/10.1016/j.jcp.2017.01.040 Publication ID: 52618
  • Huan, X., Sargsyan, K., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2017). Quantifying Uncertainty from Model Error in Turbulent Combustion Applications [Conference Poster]. https://www.osti.gov/biblio/1456433 Publication ID: 55632
  • Casey, T., Khalil, M., Najm, H.N., & Najm, H.N. (2017). Inference of H2O2 thermal decomposition rate parameters from experimental statistics [Conference Poster]. https://www.osti.gov/biblio/1456745 Publication ID: 56074
  • Huan, X., Safta, C., Geraci, G., Eldred, M., Vane, Z., Lacaze, G., Oefelein, J., Sargsyan, K., Najm, H.N., & Najm, H.N. (2017). Robust Compressive Sensing with Application to Multifidelity Analysis of Complex Turbulent Flows [Conference Poster]. https://www.osti.gov/biblio/1427446 Publication ID: 55202
  • Najm, H.N., Sargsyan, K., Huan, X., Hakim, L., Khalil, M., Oefelein, J., Lacaze, G., Vane, Z., & Vane, Z. (2017). Model Error and Statistical Calibration of [Conference Poster]. https://www.osti.gov/biblio/1426633 Publication ID: 55340
  • Safta, C., Phipps, E., Najm, H.N., & Najm, H.N. (2017). Intrusive UQ Algorithms for Emerging Computing Platforms [Conference Poster]. https://www.osti.gov/biblio/1456382 Publication ID: 55561
  • Safta, C., Blaylock, M.L., Templeton, J.A., Domino, S., Sargsyan, K., Najm, H.N., & Najm, H.N. (2017). Uncertainty quantification in LES of channel flow. International Journal for Numerical Methods in Fluids, 83(4), pp. 376-401. https://doi.org/10.1002/fld.4272 Publication ID: 41556
  • Najm, H.N. (2017). An Overview of the QUEST Institute [Conference Poster]. https://www.osti.gov/biblio/1455319 Publication ID: 54876
  • Malpica Galassi, R., Valorani, M., Najm, H.N., Safta, C., Khalil, M., Ciottoli, P.P., & Ciottoli, P.P. (2017). Chemical model reduction under uncertainty [Conference Poster]. Combustion and Flame. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85014375417&origin=inward Publication ID: 44045
  • Khalil, M., Chowdhary, K., Safta, C., Sargsyan, K., Najm, H.N., & Najm, H.N. (2017). Inference of reaction rate parameters based on summary statistics from experiments. Proceedings of the Combustion Institute, 36(1), pp. 699-708. https://doi.org/10.1016/j.proci.2016.08.058 Publication ID: 50088
  • Huan, X., Safta, C., Sargsyan, K., Geraci, G., Eldred, M., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2017). Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design [Conference Poster]. https://doi.org/10.2514/6.2017-1089 Publication ID: 52795
  • Casey, T., Najm, H.N., & Najm, H.N. (2017). Missing experimental data and rate parameter inference for H2+OH=H2O+H [Conference Poster]. 2017 Fall Technical Meeting of the Western States Section of the Combustion Institute, WSSCI 2017. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85040168373&origin=inward Publication ID: 53751
  • Casey, T., Khalil, M., Najm, H.N., & Najm, H.N. (2017). Inference of H2O2 thermal decomposition rate parameters from experimental statistics [Conference Poster]. 10th U.S. National Combustion Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85040190506&origin=inward Publication ID: 55843
  • Huan, X., Safta, C., Sargsyan, K., Geraci, G., Eldred, M., Vane, Z., Lacaze, G., Oefelein, J., Najm, H.N., & Najm, H.N. (2016). Global Sensitivity Analysis and Quantification of Model Form Error for Large Eddy Simulation of Scramjet Design [Conference Poster]. https://www.osti.gov/biblio/1413414 Publication ID: 48116
  • 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. (2016). Optimization under Uncertainty – Scramjet and Power Grid – [Conference Poster]. https://www.osti.gov/biblio/1389706 Publication ID: 52069
  • Najm, H.N., Sargsyan, K., Huan, X., Hakim, L., Oefelein, J., Lacaze, G., Vane, Z., & Vane, Z. (2016). Uncertainty Quantification with Model Error [Conference Poster]. https://www.osti.gov/biblio/1527218 Publication ID: 52156
  • Najm, H.N., Sargsyan, K., Huan, X., Khalil, M., Hakim, L., Oefelein, J., Lacaze, G., Vane, Z., & Vane, Z. (2016). Uncertainty Quantification with Model Error [Conference Poster]. https://www.osti.gov/biblio/1397104 Publication ID: 52533
  • 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
  • Najm, H.N. (2016). Chemical Model Reduction under Uncertainty [Conference Poster]. https://www.osti.gov/biblio/1527238 Publication ID: 52536
  • Najm, H.N. (2016). An Introduction to Bayesian Inference [Conference Poster]. https://www.osti.gov/biblio/1397107 Publication ID: 52538
  • Chowdhary, K., Najm, H.N., & Najm, H.N. (2016). Bayesian estimation of Karhunen-Loève expansions; A random subspace approach. Journal of Computational Physics, 319, pp. 280-293. https://doi.org/10.1016/j.jcp.2016.02.056 Publication ID: 42319
  • Harmon, R., Khalil, M., Najm, H.N., Safta, C., & Safta, C. (2016). Convergence study in global sensitivity analysis. https://doi.org/10.2172/1561829 Publication ID: 51622
  • Huan, X., Safta, C., Eldred, M., Vane, Z., Lacaze, G., Oefelein, J., Sargsyan, K., Najm, H.N., & Najm, H.N. (2016). Global Sensitivity Analysis for Large Eddy Simulation Models [Conference Poster]. https://www.osti.gov/biblio/1372012 Publication ID: 51034
  • Harmon, R., Najm, H.N., Khalil, M., & Khalil, M. (2016). A Convergence Study in Global Sensitivity Analysis (presentation) [Presentation]. https://www.osti.gov/biblio/1372190 Publication ID: 51111
  • Harmon, R., Najm, H.N., Khalil, M., & Khalil, M. (2016). A Convergence Study in Global Sensitivity Analysis [Presentation]. https://www.osti.gov/biblio/1372191 Publication ID: 51112
  • Heindel, J., Rai, P., Jasper, A.W., Sargsyan, K., Najm, H.N., & Najm, H.N. (2016). Low-rank decomposition of potential energy surfaces for rovibrational properties at high energies [Presentation]. https://www.osti.gov/biblio/1373066 Publication ID: 51259
  • Wang, J., Najm, H.N., Khalil, M., Freund, J., & Freund, J. (2016). Global Sensitivity Analysis for Fields: A Demonstration for Hydrogen Autoignition [Presentation]. https://www.osti.gov/biblio/1373231 Publication ID: 51267
  • Najm, H.N., Sargsyan, K., Huan, X., Bender, J., Ghanem, R., & Ghanem, R. (2016). On Model Error and Statistical Calibration of Physical Models [Conference Poster]. https://www.osti.gov/biblio/1529794 Publication ID: 51268
  • Khalil, M., Chowdhary, K., Safta, C., Sargsyan, K., Najm, H.N., & Najm, H.N. (2016). Inference of reaction rate parameters based on summary statistics from experiments [Conference Poster]. https://doi.org/10.1016/j.proci.2016.08.058 Publication ID: 51426
  • Najm, H.N. (2016). Reacting Flow Modeling with Detailed Chemical Kinetics [Conference Poster]. https://www.osti.gov/biblio/1877834 Publication ID: 50534
  • Safta, C., Chen, R.L.-Y., Najm, H.N., Pinar, A., Watson, J., & Watson, J. (2016). A Sparse Quadrature Approach for Stochastic Optimization in Power Grid Models [Conference Poster]. https://www.osti.gov/biblio/1367949 Publication ID: 50837
  • Sargsyan, K., Huan, X., Najm, H.N., Bender, J., & Bender, J. (2016). Density Estimation Framework for Model Error Quantification [Conference Poster]. https://www.osti.gov/biblio/1368714 Publication ID: 50301
  • Oefelein, J., Hakim, L., Lacaze, G., Khalil, M., Sargsyan, K., Najm, H.N., & Najm, H.N. (2016). Parameter Estimation and Uncertainty Quantification in Turbulent Combustion Computations [Conference Poster]. https://www.osti.gov/biblio/1366683 Publication ID: 49208
  • 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., Chen, R.L.-Y., Pinar, A., Najm, H.N., Watson, J., & Watson, J. (2016). Employing Sparse Quadrature for Stochastic Optimization in Power Grids [Conference Poster]. https://www.osti.gov/biblio/1618230 Publication ID: 49135
  • Safta, C., Cheng, J., Chen, R.L.-Y., Pinar, A., Najm, H.N., Watson, J., & Watson, J. (2016). Surrogate-based model for optimization under uncertainty [Conference Poster]. https://www.osti.gov/biblio/1618234 Publication ID: 49142
  • Khalil, M., Najm, H.N., Chowdhary, K., Safta, C., Sargsyan, K., & Sargsyan, K. (2016). Probabilistic Inference of Model Parameters and Missing High-Dimensional Data Based on Summary Statistics [Conference Poster]. https://www.osti.gov/biblio/1618243 Publication ID: 49171
  • 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
  • Sargsyan, K., Huan, X., Najm, H.N., & Najm, H.N. (2016). Density Estimation Framework for Model Error Quantification [Conference Poster]. https://www.osti.gov/biblio/1366667 Publication ID: 49200
  • Najm, H.N. (2016). Uncertainty Quantification in Computational Models [Conference Poster]. https://www.osti.gov/biblio/1346524 Publication ID: 48581
  • 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
  • Najm, H.N., Galassi, R., Valorani, M., & Valorani, M. (2015). Chemical Model Reduction under Uncertainty [Conference Poster]. https://www.osti.gov/biblio/1338156 Publication ID: 42116
  • Najm, H.N. (2015). Optimization and Uncertainty Quantification [Conference Poster]. https://www.osti.gov/biblio/1333804 Publication ID: 41749
  • Najm, H.N. (2015). Uncertainty Quantification in Computational Models [Presentation]. https://www.osti.gov/biblio/1332657 Publication ID: 46301
  • Templeton, J.A., Blaylock, M.L., Domino, S., Hewson, J., Kumar, P., Ling, J., Najm, H.N., Ruiz, A., Safta, C., Sargsyan, K., Stewart, A., Wagner, G., & Wagner, G. (2015). Calibration and Forward Uncertainty Propagation for Large-eddy Simulations of Engineering Flows. https://doi.org/10.2172/1221181 Publication ID: 45562
  • Safta, C., Chen, R.L.-Y., Najm, H.N., Pinar, A., Watson, J., & Watson, J. (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations [Conference Poster]. https://www.osti.gov/biblio/1301962 Publication ID: 44869
  • Najm, H.N., Sargsyan, K., Chowdhary, K., Khalil, M., & Khalil, M. (2015). Computational Statistical Inverse Problems with Sparse or Missing Data [Conference Poster]. https://www.osti.gov/biblio/1312660 Publication ID: 45189
  • Sargsyan, K., Rai, P., Najm, H.N., Hermes, M., Hirata, S., & Hirata, S. (2015). Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals. https://doi.org/10.2172/1221857 Publication ID: 45276
  • 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
  • Rai, P., Sargsyan, K., Najm, H.N., Hirata, S., Matthew, H., & Matthew, H. (2015). Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals [Conference Poster]. https://www.osti.gov/biblio/1266829 Publication ID: 44431
  • Chen, C., Najm, H.N., Khalil, M., & Khalil, M. (2015). Global Sensitivity Analysis for Chemical Kinetics of Hydrocarbon Combustion [Poster] [Presentation]. https://www.osti.gov/biblio/1339328 Publication ID: 44644
  • Chen, C., Najm, H.N., Khalil, M., & Khalil, M. (2015). Global Sensitivity Analysis for Chemical Kinetics of Hydrocarbon Combustion [PowerPoint] [Presentation]. https://www.osti.gov/biblio/1339331 Publication ID: 44647
  • Sargsyan, K., Najm, H.N., Jason, B., Ghanem, R., & Ghanem, R. (2015). Density Estimation Framework for Model Error Assessment [Conference Poster]. https://www.osti.gov/biblio/1279688 Publication ID: 44743
  • 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
  • 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
  • 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
  • Najm, H.N., Sargsyan, K., Bender, J., Ghanem, R., & Ghanem, R. (2015). Accounting for Model Error in the Calibration of Physical Models [Conference Poster]. https://www.osti.gov/biblio/1245918 Publication ID: 42523
  • Safta, C., Chen, R.L.-Y., Najm, H.N., Pinar, A., Watson, J., & Watson, J. (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations [Conference Poster]. https://www.osti.gov/biblio/1331642 Publication ID: 42563
  • Najm, H.N., Sargsyan, K., Bender, J., Ghanem, R., & Ghanem, R. (2015). Handling Model Error in the Calibration of Physical Models [Conference Poster]. https://www.osti.gov/biblio/1245934 Publication ID: 42747
  • 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
  • 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
  • Liu, Z., Pinto, J., Turner, A., Bruhwiler, L., Henze, D., Brioude, J., Bousserez, N., Sargsyan, K., Safta, C., Najm, H.N., LaFranchi, B., Bambha, R.P., Michelsen, H.A., & Michelsen, H.A. (2014). Contribution of Oil and Gas Production to Atmospheric CH4 int eh South-Central United States: Reconciling bottom-up and top-down estimates [Conference Poster]. https://www.osti.gov/biblio/1315004 Publication ID: 39873
  • 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
  • Sargsyan, K., Najm, H.N., Safta, C., Michelsen, H.A., Bambha, R.P., Liu, Z., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2014). Density Estimation Framework for Model Error Assessmen [Presentation]. https://www.osti.gov/biblio/1504062 Publication ID: 39876
  • 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
  • Safta, C., Chen, R.L.-Y., Najm, H.N., Pinar, A., Watson, J., & Watson, J. (2014). Toward using surrogates to accelerate solution of stochastic electricity grid operations problems [Presentation]. 2014 North American Power Symposium, NAPS 2014. https://doi.org/10.1109/NAPS.2014.6965425 Publication ID: 38413
  • Najm, H.N. (2014). Uncertainty Quantification in Computational Models [Presentation]. https://www.osti.gov/biblio/1242141 Publication ID: 39359
  • Najm, H.N. (2014). High-Dimensionality Challenges in Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1241738 Publication ID: 38857
  • Kedia, K.S., Safta, C., Ray, J., Najm, H.N., Ghoniem, A.F., & Ghoniem, A.F. (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, 272, pp. 408-428. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84899832184&origin=inward Publication ID: 34917
  • Michelsen, H.A., Liu, Z., Bambha, R.P., LaFranchi, B., Sargsyan, K., Safta, C., Najm, H.N., Schrader, P., & Schrader, P. (2014). Sandia?s Work on Verifying CH4 Emissions [Presentation]. https://www.osti.gov/biblio/1502756 Publication ID: 38546
  • Safta, C., Najm, H.N., Phipps, E., & Phipps, E. (2014). Numerical Continuation Methods for Intrusive Uncertainty Quantification Studies. https://doi.org/10.2172/1323376 Publication ID: 38612
  • Liu, Z., Safta, C., Sargsyan, K., Najm, H.N., van Bloemen Waanders, B., LaFranchi, B., Ivey, M., Schrader, P., Michelsen, H.A., Bambha, R.P., & Bambha, R.P. (2014). Greenhouse Gas Source Attribution: Measurements Modeling and Uncertainty Quantification. https://doi.org/10.2172/1322290 Publication ID: 38662
  • Najm, H.N. (2014). Uncertainty Quantification Bayesian Inference and Analysis of Models [Presentation]. https://www.osti.gov/biblio/1497531 Publication ID: 37990
  • Najm, H.N., Chowdhary, K., & Chowdhary, K. (2014). Data free inference with processed data products. Statistics and Computing, 26(1-2), pp. 149-169. https://doi.org/10.1007/s11222-014-9484-y Publication ID: 36039
  • Pinar, A., Safta, C., Chen, R.L.-Y., Najm, H.N., Watson, J., & Watson, J. (2014). Probabilistic Methods for Power Grid Networks [Presentation]. https://www.osti.gov/biblio/1496919 Publication ID: 37564
  • 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
  • Shao, J., Khalil, M., Najm, H.N., & Najm, H.N. (2014). uncertainty quantification [Presentation]. https://www.osti.gov/biblio/1496102 Publication ID: 37713
  • Michelsen, H.A., Bambha, R.P., Liu, Z., Schrader, P., Ivey, M., Roesler, E., Taylor, M., LaFranchi, B., Helsel, F., Najm, H.N., Sargsyan, K., Safta, C., & Safta, C. (2014). Black Carbon Methane and Carbon Dioxide: Measurement Modeling and Source Attribution [Presentation]. https://www.osti.gov/biblio/1494427 Publication ID: 37741
  • 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
  • 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
  • Najm, H.N. (2014). Overview of the QUEST Institute [Conference]. https://www.osti.gov/biblio/1142900 Publication ID: 40632
  • Safta, C., Chen, R.L.-Y., Najm, H.N., Pinar, A., Watson, J., & Watson, J. (2014). Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems [Conference]. https://doi.org/10.1109/NAPS.2014.6965425 Publication ID: 40817
  • 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., 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
  • Najm, H.N., Valorani, M., & Valorani, M. (2014). Enforcing positivity in intrusive PC-UQ methods for reactive ODE systems. Journal of Computational Physics, 270, pp. 544-569. https://doi.org/10.1016/j.jcp.2014.03.061 Publication ID: 34999
  • 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
  • Najm, H.N. (2013). Uncertainty Quantification in Computational Models [Conference]. https://www.osti.gov/biblio/1120429 Publication ID: 36682
  • 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
  • Najm, H.N. (2013). QUEST UQ Methods & Tools Connections to SUPER Research Areas [Conference]. https://www.osti.gov/biblio/1111315 Publication ID: 35786
  • Najm, H.N. (2013). Uncertainty Quantification in Computational Models [Conference]. https://www.osti.gov/biblio/1113137 Publication ID: 35856
  • 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
Showing 10 of 200 publications.