Habib N. Najm

Orcid: 0000-0002-6338-7260

According to our database1, Habib N. Najm authored at least 46 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Pynta─An Automated Workflow for Calculation of Surface and Gas-Surface Kinetics.
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
Compressive sensing adaptation for polynomial chaos expansions.
J. Comput. Phys., 2019

Entropy-based closure for probabilistic learning on manifolds.
J. Comput. Phys., 2019

Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds.
J. Comput. Phys., 2019

Effective construction of eigenvectors for a class of singular sparse matrices.
Appl. Math. Lett., 2019

2018
Distributionally Robust Optimization with Principal Component Analysis.
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

Chance-constrained economic dispatch with renewable energy and storage.
Comput. Optim. Appl., 2018

2017
Computational singular perturbation analysis of stochastic chemical systems with stiffness.
J. Comput. Phys., 2017

2016
Data free inference with processed data products.
Stat. Comput., 2016

Bayesian estimation of Karhunen-Loève expansions; A random subspace approach.
J. Comput. Phys., 2016

2015
Fault Resilient Domain Decomposition Preconditioner for PDEs.
SIAM J. Sci. Comput., 2015

Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.
Multiscale Model. Simul., 2015

Hybrid discrete/continuum algorithms for stochastic reaction networks.
J. Comput. Phys., 2015

Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem.
J. Aerosp. Inf. Syst., 2015

Efficient Representation of Uncertainty for Stochastic Economic Dispatch.
CoRR, 2015

2014
Dynamical Structures in Stochastic Chemical Reaction Systems.
SIAM J. Appl. Dyn. Syst., 2014

Enforcing positivity in intrusive PC-UQ methods for reactive ODE systems.
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

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.
Multiscale Model. Simul., 2012

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection.
J. Sci. Comput., 2012

Data-free inference of the joint distribution of uncertain model parameters.
J. Comput. Phys., 2012

2011
Eigenvalues of the Jacobian of a Galerkin-Projected Uncertain ODE System.
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

A high-order low-Mach number AMR construction for chemically reacting flows.
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

Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems.
SIAM J. Sci. Comput., 2007

Stochastic spectral methods for efficient Bayesian solution of inverse problems.
J. Comput. Phys., 2007

2006
Model Reduction and Physical Understanding of Slowly Oscillating Processes: The Circadian Cycle.
Multiscale Model. Simul., 2006

2005
Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport.
J. Sci. Comput., 2005

2004
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions.
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


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