Habib N. Najm
Orcid: 0000-0002-6338-7260
According to our database1,
Habib N. Najm
authored at least 51 papers
between 2003 and 2025.
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On csauthors.net:
Bibliography
2025
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty.
SIAM/ASA J. Uncertain. Quantification, 2025
2024
CSPlib: A performance portable parallel software toolkit for analyzing complex kinetic mechanisms.
Comput. Phys. Commun., 2024
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators.
CoRR, 2024
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone.
CoRR, 2024
Bayesian optimization for stable properties amid processing fluctuations in sputter deposition.
CoRR, 2024
2023
J. Chem. Inf. Model., August, 2023
Multifidelity Neural Network Formulations for Prediction of Reactive Molecular Potential Energy Surfaces.
J. Chem. Inf. Model., April, 2023
TChem: A performance portable parallel software toolkit for complex kinetic mechanisms.
Comput. Phys. Commun., April, 2023
2022
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification.
CoRR, 2022
2019
J. Comput. Phys., 2019
J. Comput. Phys., 2019
Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds.
J. Comput. Phys., 2019
Appl. Math. Lett., 2019
2018
SIAM J. Optim., 2018
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification, 2018
Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques.
J. Comput. Phys., 2018
Comput. Optim. Appl., 2018
2017
Computational singular perturbation analysis of stochastic chemical systems with stiffness.
J. Comput. Phys., 2017
2016
J. Comput. Phys., 2016
2015
SIAM J. Sci. Comput., 2015
Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.
Multiscale Model. Simul., 2015
J. Comput. Phys., 2015
Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem.
J. Aerosp. Inf. Syst., 2015
2014
SIAM J. Appl. Dyn. Syst., 2014
J. Comput. Phys., 2014
A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid.
J. Comput. Phys., 2014
Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems.
CoRR, 2014
2013
Validation and Uncertainty Assessment of Extreme-Scale HPC Simulation through Bayesian Inference.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013
2012
Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs.
SIAM J. Sci. Comput., 2012
A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations.
Multiscale Model. Simul., 2012
Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.
Multiscale Model. Simul., 2012
Multiscale Model. Simul., 2012
J. Sci. Comput., 2012
J. Comput. Phys., 2012
2011
SIAM J. Sci. Comput., 2011
2010
Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning.
SIAM J. Sci. Comput., 2010
J. Comput. Phys., 2010
2009
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems.
J. Comput. Phys., 2009
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities.
Proceedings of the ICDM Workshops 2009, 2009
2008
Components for atomistic-to-continuum multiscale modeling of flow in micro- and nanofluidic systems.
Sci. Program., 2008
2007
Using High-Order Methods on Adaptively Refined Block-Structured Meshes: Derivatives, Interpolations, and Filters.
SIAM J. Sci. Comput., 2007
SIAM J. Sci. Comput., 2007
J. Comput. Phys., 2007
2006
Model Reduction and Physical Understanding of Slowly Oscillating Processes: The Circadian Cycle.
Multiscale Model. Simul., 2006
2005
J. Sci. Comput., 2005
2004
SIAM J. Sci. Comput., 2004
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.
SIAM J. Sci. Comput., 2004
2003
Using the Common Component Architecture to Design High Performance Scientific Simulation Codes.
Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003