H. Najm

发表

Multi-resolution analysis of wiener-type uncertainty propagation schemes

R. Ghanem, O. L. Maître, H. Najm, 2004 .

Uncertainty propagation using Wiener-Haar expansions

R. Ghanem, O. L. Maître, H. Najm, 2004 .

Quantifying uncertainty in chemical systems modeling

R. Ghanem, H. Najm, O. Knio, 2004 .

A Study of the Effect of Higher Order Spatial Discretizations in SAMR (Structured Adaptive Mesh Refi

H. Najm, J. Ray, S. Lefantzi, 2003 .

High-order spatial discretizations and extended stability methods for reacting flows on structured adaptively refined meshes

H. Najm, J. Ray, S. Lefantzi, 2022 .

A Semi-implicit Numerical Scheme for Reacting Flow

P. S. Wyckoff, H. Najm, O. Knio, 1998 .

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

Habib N. Najm, Roger G. Ghanem, Omar M. Knio, 2005, SIAM J. Sci. Comput..

Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection

H. Najm, O. Knio, M. Reagan, 2003 .

A stochastic projection method for fluid flow. I: basic formulation

R. Ghanem, O. L. Maître, H. Najm, 2001 .

STUDY OF SAMPLE DISPERSION MECHANISMS IN AN ELECTROOSMOTICALLY PUMPED MICROCHANNEL

O. L. Maître, H. Najm, O. Knio, 2003 .

A stochastic projection method for fluid flow II.: random process

H. Najm, O. Knio, M. Reagan, 2002 .

Protein labeling reactions in electrochemical microchannel flow: Numerical simulation and uncertainty propagation

O. L. Maître, H. Najm, O. Knio, 2003 .

Sensor fusion for ULSI manufacturing process control

H. Najm, M. Moslehi, L. Velo, 1992, 1992 Symposium on VLSI Technology Digest of Technical Papers.

On the Statistical Calibration of Physical Models: STATISTICAL CALIBRATION OF PHYSICAL MODELS

H. Najm, R. Ghanem, K. Sargsyan, 2015 .

Rapid Thermal Processing For Sub-Half-Micron CMOS IC Manufacturing

H. Najm, R. Chapman, M. Moslehi, 1993, Symposium 1993 on VLSI Technology.

ROBUST OPTIMIZATION WITH PRINCIPAL COMPONENT ANALYSIS

H. Najm, J. Watson, Ali Pinar, 2016 .

DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING

Peter E. Thornton, Cosmin Safta, Khachik Sargsyan, 2014 .

Sparse low rank approximation of potential energy surfaces with applications in estimation of anharmonic zero point energies and frequencies

H. Najm, S. Hirata, K. Sargsyan, 2018, Journal of Mathematical Chemistry.

Scalable approximation of Green's function for estimation of anharmonic energy corrections

H. Najm, S. Hirata, K. Sargsyan, 2019, 1909.06456.

Low-rank canonical-tensor decomposition of potential energy surfaces: application to grid-based diagrammatic vibrational Green's function theory

H. Najm, S. Hirata, K. Sargsyan, 2017 .

Spectral methods for parametric sensitivity in stochastic dynamical systems.

H. Najm, B. Debusschere, D. Kim, 2007, Biophysical journal.

On the Adequacy of Certain Experimental Observables as Measurements of Flame Burning Rate

P. S. Wyckoff, H. Najm, C. Mueller, 1998 .

NUMERICAL SIMULATION OF THE CONVECTIVE INSTABILITY IN A DUMP COMBUSTOR

H. Najm, A. Ghoniem, 1991 .

Computationally efficient Bayesian inference for inverse problems.

Y. Marzouk, H. Najm, L. Rahn, 2007 .

Uncertainty quantification in chemical systems

Y. Marzouk, H. Najm, B. Debusschere, 2009 .

Dynamic Response of Strained Premixed Flames to Equivalence Ratio Gradients

Y. Marzouk, H. Najm, A. Ghoniem, 2000 .

Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty

A. Banerjee, H. Najm, Snigdhansu Chatterjee, 2013 .

Uncertainty quantification in LES of channel flow

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2017 .

DATA-FREE INFERENCE OF UNCERTAIN PARAMETERS IN CHEMICAL MODELS

R. D. Berry, H. Najm, B. Debusschere, 2014 .

Uncertainty quantification for large-scale ocean circulation predictions.

H. Najm, B. Debusschere, K. Sargsyan, 2010 .

Sources of Cell-to-cell Variability in Canonical Nuclear Factor-κB (NF-κB) Signaling Pathway Inferred from Single Cell Dynamic Images*

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2011, The Journal of Biological Chemistry.

Probabilistic parameter estimation in a 2-step chemical kinetics model for n-dodecane jet autoignition

Khachik Sargsyan, Guilhem Lacaze, Joseph C. Oefelein, 2018 .

Uncertainty quantification in the ab initio rate-coefficient calculation for the reaction

Habib N. Najm, Jens Prager, Judit Zádor, 2013 .

MODEL REDUCTION IN REACTING FLOW.

H. Najm, 2013 .

Spectral Representation and Reduced Order Modeling of Stochastic Reaction Networks

H. Najm, B. Debusschere, K. Sargsyan, 2022 .

Inference Given Summary Statistics

H. Najm, K. Chowdhary, 2015 .

Uncertainty Quantification in Computational Models of Fusion Systems ⇤

H. Najm, O. Knio, 2015 .

Automated exploration of the mechanism of elementary reactions

H. Najm, J. Zádor, 2012 .

Risk assessment of climate systems for national security.

T. Trucano, H. Najm, J. Overfelt, 2012 .

Accuracy of tail regions in uncertain climate model.

H. Najm, B. Debusschere, K. Sargsyan, 2010 .

Uncertainty Quantification given Discontinuous Climate Model Response and a Limited Number of Model Runs

H. Najm, B. Debusschere, K. Sargsyan, 2010 .

A Coupled Lagrangian-Eulerian Scheme for Reacting Flow Modeling

H. Najm, K. Devine, S. Kempka, 1999 .

A high-order AMR algorithm for chemically reacting flows.

H. Najm, J. Ray, C. Safta, 2011 .

Modeling Fast Diffusion Processes in Time Integration of Stiff Stochastic Differential Equations

H. Najm, Xiaoying Han, 2022, Communications on Applied Mathematics and Computation.

Skeletal mechanism generation with CSP and validation for premixed n-heptane flames

Habib N. Najm, Mauro Valorani, Jens Prager, 2009 .

Explicit time integration of the stiff chemical Langevin equations using computational singular perturbation.

H. Najm, M. Valorani, Xiaoying Han, 2019, The Journal of chemical physics.

Parameter Estimation with Missing Data.

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2013 .

Distributed micro-releases of bioterror pathogens: threat characterizations and epidemiology from uncertain patient observables

Habib N. Najm, Michael M. Wolf, Jaideep Ray, 2008 .

Modeling Pulsating Combustion Due To Flow-Flame Interactions In Vortex-Stabilized Pre-mixed Flames

Habib N. Najm, H. Najm, Ahmed R Ghoniem, 1993 .

Quantification of Uncertainty in Extreme Scale Computations (QUEST).

Cosmin Safta, Michael S. Eldred, Habib N. Najm, 2012 .

Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model

Peter E. Thornton, Cosmin Safta, Khachik Sargsyan, 2014 .

Introductory slides for presentation to seminar: Quantification of Uncertainty in Extreme Scale Computations.

Habib N. Najm, H. Najm, 2012 .

Uncertainty Quantification in a Reacting Electrochemical Microchannel Flow Model

Habib N. Najm, Omar M. Knio, Bert J. Debusschere, 2002 .

A multigrid solver for two-dimensional stochastic diffusion equations

Habib N. Najm, Omar M. Knio, Bert J. Debusschere, 2003 .

Toward a Flame Embedding Model for Turbulent Combustion Simulation

Habib N. Najm, Ahmed F. Ghoniem, Youssef M. Marzouk, 2003 .

Transient Response of Premixed Methane-Air Flames

P. S. Wyckoff, H. Najm, O. Knio, 1997 .

A computational facility for reacting flow science

H. Najm, M. Valorani, J. Ray, 2006 .

Computational study of band-crossing reactions

R. Ghanem, H. Najm, O. Knio, 2004, Journal of Microelectromechanical Systems.

The role of explosive modes in homogeneous ignition and premixed flames.

M. Frenklach, H. Najm, M. Valorani, 2005 .

Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence

Habib N. Najm, Karen Willcox, Manish Parashar, 2018 .

Bayesian calibration of interatomic potentials for binary alloys

H. Najm, W. Windl, C. Safta, 2022, Computational Materials Science.

Accelerated saddle point refinement through full exploitation of partial Hessian diagonalization.

H. Najm, K. Sargsyan, J. Zádor, 2019, Journal of chemical theory and computation.

Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames

Dimitris M. Manias, H. Najm, S. Paolucci, 2020 .

Trajectory design via unsupervised probabilistic learning on optimal manifolds

Michael J. Sparapany, H. Najm, R. Ghanem, 2022, Data-Centric Engineering.

Effect of equivalence ratio on premixed flame response to unsteady strain-rate and curvature

P. S. Wyckoff, H. Najm, O. Knio, 1997 .

Sella, an Open-Source Automation-Friendly Molecular Saddle Point Optimizer.

H. Najm, K. Sargsyan, J. Zádor, 2022, Journal of chemical theory and computation.

Uncertainty Quantification in Computational Models.

Habib N. Najm, H. Najm, 2011 .

Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error [Poster]

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2016 .

Employing Sparse Quadrature for Stochastic Optimization in Power Grids.

Habib N. Najm, Jean-Paul Watson, Ali Pinar, 2016 .

Uncertainty Quantification in Multiscale Atomistic-Continuum Models.

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2011 .

Computational singular perturbation with non-parametric tabulation of slow manifolds for time integration of stiff chemical kinetics

Habib N. Najm, Mauro Valorani, Bert J. Debusschere, 2012 .

Inference of missing data and chemical model parameters using experimental statistics.

Habib N. Najm, Tiernan Casey, H. Najm, 2017 .

Accounting for Model Error in the Calibration of Physical Models.

Khachik Sargsyan, Habib N. Najm, Jason Bender, 2015 .

Inference of Chemical Model Parameters given Partial Information.

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2013 .

CSPlib - A Software Toolkit for the Analysis of Dynamical Systems and Chemical Kinetic Models.

Cosmin Safta, Habib N. Najm, Óscar H. Díaz-Ibarra, 2021 .

EMBEDDED MODEL ERROR REPRESENTATION FOR BAYESIAN MODEL CALIBRATION

Xun Huan, Khachik Sargsyan, Habib N. Najm, 2018, International Journal for Uncertainty Quantification.

Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification

S. Silling, H. Najm, M. D'Elia, 2022, ArXiv.

On chain branching and its role in homogeneous ignition and premixed flame propagation.

Habib N. Najm, Mauro Valorani, Jaideep Ray, 2004 .

Partial Differential Equations Solver Resilient to Soft and Hard Faults.

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2015 .

High-Dimensionality Challenges in Uncertainty Quantification.

Habib N. Najm, H. Najm, 2014 .

Probabilistic Approaches for Communication Avoidance and Resilience in Exascale Simulations.

Habib N. Najm, Bert J. Debusschere, H. Najm, 2013 .

Adaptive Explicit Integration of Stiff Chemical Systems.

Cosmin Safta, Habib N. Najm, Mauro Valorani, 2007 .

A Bayesian approach to inverse problems in scalar transport

Habib N. Najm, Youssef M. Marzouk, Y. Marzouk, 2006 .

Components for atomistic-to-continuum multiscale modeling of flow in micro- and nanofluidic systems

Habib N. Najm, Bert J. Debusschere, Helgi Adalsteinsson, 2008, Sci. Program..

Chemical model reduction under uncertainty

Cosmin Safta, Habib N. Najm, Mauro Valorani, 2017 .

Inference of reaction rate parameters based on summary statistics from experiments

H. Najm, K. Sargsyan, Mohammad Khalil, 2017 .

Chemical kinetics mechanism simplification via CSP

H. Najm, M. Valorani, D. Goussis, 2005 .

Bayesian Inference of Spectral Expansions for Predictability Assessment in Stochastic Reaction Networks

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2009 .

Designing adaptive mesh simulators for reacting flows using the Common Component Architecture

Cosmin Safta, Habib N. Najm, Jaideep Ray, 2009 .

Planar laser-induced fluorescence imaging of flame heat release rate

Habib N. Najm, Phillip H. Paul, H. Najm, 1998 .

Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals

Khachik Sargsyan, Habib N. Najm, Prashant Rai, 2018, Computer Methods in Applied Mechanics and Engineering.

Sparse surrogate model construction via compressive sensing.

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2013 .

Quantitative Developments of Biomolecular Databases, Measurement Methodology, and Comprehensive Transport Models for Bioanalytical Microfluidics

Habib N. Najm, Carl D. Meinhart, Shankar Sundaram, 2006 .

A CSP and tabulation-based adaptive chemistry model

Habib N. Najm, Mauro Valorani, Jaideep Ray, 2007 .

Density Estimation Framework for Model Error Assessment.

Khachik Sargsyan, Habib N. Najm, Roger R. Ghanem, 2015 .

Overview of the QUEST Institute.

Habib N. Najm, H. Najm, 2014 .

Computational Frameworks for Advanced Combustion Simulations

Habib N. Najm, Bert J. Debusschere, R. Armstrong, 2011 .

Handling Model Error in the Calibration of Physical Models.

Khachik Sargsyan, Habib N. Najm, Roger R. Ghanem, 2015 .

Uncertainty Quantification in Climate Modeling

H. Najm, B. Debusschere, K. Sargsyan, 2010 .

Reactive and reactive-diffusive time scales in stiff reaction-diffusion systems

H. Najm, M. Valorani, D. Goussis, 2005 .

A Flame Embedding Model for Turbulent Combustion Simulation

H. Najm, A. Ghoniem, M. Marzouk, 2000 .

Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2009, SIAM J. Sci. Comput..

Distributionally Robust Optimization with Principal Component Analysis

Cosmin Safta, Habib N. Najm, Jean-Paul Watson, 2018, SIAM J. Optim..

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems

Habib N. Najm, Youssef M. Marzouk, Y. Marzouk, 2008, J. Comput. Phys..

Triple flame structure and dynamics at the stabilization point of an unsteady lifted jet diffusion flame

Habib N. Najm, Karen Dragon Devine, Jaideep Ray, 2000 .

Numerical and experimental investigation of vortical flow-flame interaction

C. J. Mueller, H. N. Najm, S. N. Kempka, 1998 .

A Study of Flame Observables in Premixed Methane - Air Flames

Habib N. Najm, Omar M. Knio, P. S. Wyckoff, 1998 .

Bayesian model calibration for vacuum-ultraviolet photoionisation mass spectrometry

H. Najm, L. Sheps, James Oreluk, 2022, Combustion Theory and Modelling.

Probabilistic inference of reaction rate parameters from summary statistics

Habib N. Najm, Mohammad Khalil, H. Najm, 2018, Combustion Theory and Modelling.

Uncertainty quantification of reaction mechanisms accounting for correlations introduced by rate rules and fitted Arrhenius parameters

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2013 .

Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds

Xun Huan, Guilhem Lacaze, Joseph C. Oefelein, 2019, J. Comput. Phys..

Entropy-based closure for probabilistic learning on manifolds

Xun Huan, Cosmin Safta, Zachary P. Vane, 2018, J. Comput. Phys..

Global sensitivity analysis of a coupled multiphysics model to predict surface evolution in fusion plasma–surface interactions

H. Najm, B. Wirth, K. Sargsyan, 2023, Computational Materials Science.

Quantification of the effect of uncertainty on impurity migration in PISCES-A simulated with GITR

H. Najm, K. Sargsyan, D. Curreli, 2018, Nuclear Fusion.

Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics

Habib N. Najm, H. Najm, 2009 .

A Bayesian method for characterizing distributed micro-releases: I. The single-source case for non-contagious diseases

Sandia Report, Youssef M. Marzouk, Jaideep Ray, 2006 .

Bayesian estimation of Karhunen-Loève expansions; A random subspace approach

Habib N. Najm, Kenny Chowdhary, H. Najm, 2016, J. Comput. Phys..

Quantitative Uncertainty Assessment and Numerical Simulation of Micro-Fluid Systems

Habib N. Najm, Olivier LeMaitre, Omar M. Knio, 2005 .

Numerical simulation of the convective instability in a dump

H. Najm, A. Ghoniem, 1987 .

Ignition front structure in a methane-air jet. 1

H. Najm, J. Ray, R. McCoy, 2001 .

Automated Reaction Kinetics of Gas-Phase Organic Species over Multiwell Potential Energy Surfaces.

H. Najm, J. Zádor, H. Michelsen, 2023, The journal of physical chemistry. A.

Comprehensive Kinetics on the C7H7 Potential Energy Surface under Combustion Conditions.

H. Najm, J. Zádor, H. Michelsen, 2023, The journal of physical chemistry. A.

Stochastic spectral methods for efficient Bayesian solution of inverse problems

Habib N. Najm, Larry A. Rahn, Youssef M. Marzouk, 2005, J. Comput. Phys..

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection

Habib N. Najm, Omar M. Knio, Alen Alexanderian, 2012, J. Sci. Comput..

Data-free inference of the joint distribution of uncertain model parameters

Habib N. Najm, Bert J. Debusschere, Helgi Adalsteinsson, 2010, J. Comput. Phys..

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

R. D. Berry, BENJAMIN E. SONDAY, ROBERT D. BERRY, 2011, SIAM J. Sci. Comput..

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection

H. Najm, O. Knio, A. Alexanderian, 2011, Journal of Scientific Computing.

Uncertainty Quantification in Fluid Flow

Habib N. Najm, H. Najm, 2011 .

SINGLE-WAFER PROCESSING TOOLS FOR AGILE SEMICONDUCTOR PRODUCTION

Habib N. Najm, Mehrdad M. Moslehi, Ajit P. Paranjpe, 1994 .

Fault Resilient Domain Decomposition Preconditioner for PDEs

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2015, SIAM J. Sci. Comput..

Model Reduction and Physical Understanding of Slowly Oscillating Processes: The Circadian Cycle

Habib N. Najm, Dimitris A. Goussis, H. Najm, 2006, Multiscale Model. Simul..

Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2012, SIAM J. Sci. Comput..

Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds

Xun Huan, Cosmin Safta, Zachary P. Vane, 2019, AIAA Journal.

Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design

Xun Huan, Cosmin Safta, Khachik Sargsyan, 2017 .

Higher order corrections in the approximation of low-dimensional manifolds and the construction of simplified problems with the CSP method

Habib N. Najm, Mauro Valorani, Francesco Creta, 2005 .

A Bayesian approach for estimating bioterror attacks from patient data

H. Najm, J. Ray, J Ray, 2011, Statistics in medicine.

Operator-splitting with ISAT to model reacting flow with detailed chemistry

Habib N. Najm, Stephen B. Pope, H. Najm, 2006 .

The origin of CEMA and its relation to CSP

Habib N. Najm, Mauro Valorani, Hong G. Im, 2021 .

Structure of n-heptane/air triple flames in partially-premixed mixing layers

Habib N. Najm, Mauro Valorani, Jens Prager, 2011 .

Analysis of methane–air edge flame structure

Habib N. Najm, Mauro Valorani, Jens Prager, 2010 .

An automatic procedure for the simplification of chemical kinetic mechanisms based on CSP

Habib N. Najm, Mauro Valorani, Francesco Creta, 2006 .

CSP analysis of a transient flame-vortex interaction: time scales and manifolds

Habib N. Najm, Mauro Valorani, Dimitris A. Goussis, 2003 .

The spectral characterisation of reduced order models in chemical kinetic systems

H. Najm, S. Paolucci, M. Valorani, 2022, Combustion Theory and Modelling.

Modeling Fast Diffusion Processes in Time Integration of Stiff Stochastic Differential Equations

H. Najm, Xiaoying Han, 2022, Communications on Applied Mathematics and Computation.

Using computational singular perturbation as a diagnostic tool in ODE and DAE systems: a case study in heterogeneous catalysis

Óscar H. Díaz-Ibarra, H. Najm, J. Zádor, 2021, Combustion Theory and Modelling.

Habib N. Najm, Zhiyi Li, Alessandro Parente, 2020 .

Computational singular perturbation analysis of stochastic chemical systems with stiffness

Habib N. Najm, Lijin Wang, Xiaoying Han, 2017, J. Comput. Phys..

Dynamical Structures in Stochastic Chemical Reaction Systems

Habib N. Najm, Xiaoying Han, H. Najm, 2014, SIAM J. Appl. Dyn. Syst..

Simplified CSP analysis of a stiff stochastic ODE system

Habib N. Najm, Omar M. Knio, Alen Alexanderian, 2012 .

Analysis of Methane-Air Edge Flame Sturcture using CSP

H. Najm, M. Valorani, D. Goussis, 2009 .

Surrogate Fuel Analysis and Reduction using Computational Singular Perturbation

H. Najm, M. Valorani, D. Goussis, 2008 .

Adaptive Chemistry Computations of Reacting Flow.

Habib N. Najm, Mauro Valorani, Jaideep Ray, 2007 .

Skeletal mechanism generation and analysis for n-heptane with CSP

Habib N. Najm, Mauro Valorani, Francesco Creta, 2007 .

TChem - A Software Toolkit for the Analysis of Complex Kinetic Models

Cosmin Safta, Habib N. Najm, Omar M. Knio, 2020 .

A CSP-BASED SKELETAL MECHANISM GENERATION PROCEDURE: AUTO-IGNITION AND PREMIXED LAMINAR FLAMES IN N-HEPTANE/AIR MIXTURES

Habib N. Najm, Mauro Valorani, Francesco Creta, 2006 .

A component-based toolkit for simulating reacting flows with high order spatial discretisations on structured adaptively refined meshes

Habib N. Najm, Jaideep Ray, Sophia Lefantzi, 2005 .

A Hybrid Vortex Method with Deterministic Diffusion

H. Najm, 1993 .

Analysis of Chemical Structure using CSP applied to Triple Flames of Methane and n-Heptane.

H. Najm, M. Valorani, J. Prager, 2011 .

Analysis of NO structure in a methane–air edge flame

H. Najm, J. Prager, Denise Ponganis, 2009 .

Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport

Habib N. Najm, Omar M. Knio, H. Najm, 2005, J. Sci. Comput..

Regular Article: A Semi-implicit Numerical Scheme for Reacting Flow

Habib N. Najm, Omar M. Knio, P. S. Wyckoff, 1999 .

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

Habib N. Najm, Mauro Valorani, H. Najm, 2014, J. Comput. Phys..

Compressive sensing adaptation for polynomial chaos expansions

Xun Huan, Cosmin Safta, Khachik Sargsyan, 2018, J. Comput. Phys..

Calibration and Forward Uncertainty Propagation for Large-eddy Simulations of Engineering Flows

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2015 .

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation

F. RIZZI, H. N. NAJM, B. J. DEBUSSCHERE, 2012, Multiscale Model. Simul..

Transitional Markov Chain Monte Carlo Sampler in UQTk.

Cosmin Safta, Habib N. Najm, Mohammad Khalil, 2020 .

Hybrid discrete/continuum algorithms for stochastic reaction networks

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2015, J. Comput. Phys..

Efficient Uncertainty Quantification in Stochastic Economic Dispatch

Cosmin Safta, Habib N. Najm, Jean-Paul Watson, 2017, IEEE Transactions on Power Systems.

Multifidelity Neural Network Formulations for Prediction of Reactive Molecular Potential Energy Surfaces

M. Eldred, H. Najm, J. Zádor, 2023, J. Chem. Inf. Model..

AEVmod -- Atomic Environment Vector Module Documentation.

H. Najm, Y. Yang, 2021 .

An approach for estimating the uncertainty in ParaDiS predictions.

H. N. Najm, J. Ray, M. Rhee, 2012 .

Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations

Xun Huan, Cosmin Safta, Khachik Sargsyan, 2017, 1707.09478.

Geometry optimization speedup through a geodesic approach to internal coordinates.

Khachik Sargsyan, Habib N. Najm, Judit Zádor, 2021, The Journal of chemical physics.

Geometry Optimization Speedup Through a Geodesic Approach to Internal Coordinate Optimization

Khachik Sargsyan, Habib N. Najm, Judit Zádor, 2021 .

Modeling Auto-Ignition Transients in Reacting Diesel Jets

Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, 2015 .

Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig

Xun Huan, Cosmin Safta, Gianluca Geraci, 2019, AIAA Scitech 2019 Forum.

Numerical simulation of the coupling between the vorticity and pressure oscillations in combustion instability

Habib N. Najm, H. Najm, Ahmed R Ghoniem, 1989 .

A half-explicit, non-split projection method for low Mach number flows.

H. Najm, P. Pébay, J. Pousin, 2004 .

Interatomic Potentials Models for Cu-Ni and Cu-Zr Alloys.

M. Eldred, H. Najm, W. Windl, 2018 .

Modeling unsteady reacting flow with operator splitting and ISAT

Habib N. Najm, Stephen B. Pope, H. Najm, 2006 .

Role of transport properties in the transient response of premixed methane/air flames

H. Najm, O. Knio, P. Paul, 2002 .

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

Habib N. Najm, Omar M. Knio, Bert J. Debusschere, 2005, SIAM J. Sci. Comput..

Chemical reaction and diffusion: A comparison of molecular dynamics simulations with continuum solutions

H. Najm, W. Ashurst, P. Paul, 2000 .

Uncertainty quantification in LES of a turbulent bluff-body stabilized flame

Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, 2015 .

Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters

Khachik Sargsyan, Habib N. Najm, Francesco Rizzi, 2012, Multiscale Model. Simul..

The Role of Stiffness in Training and Generalization of ResNets

H. Najm, K. Sargsyan, Joshua Hudson, 2023, Journal of Machine Learning for Modeling and Computing.

Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations

Xun Huan, Cosmin Safta, Zachary P. Vane, 2019, AIAA Scitech 2019 Forum.

Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations

Xun Huan, Cosmin Safta, Khachik Sargsyan, 2018 .

Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions pdf

Xun Huan, Cosmin Safta, Khachik Sargsyan, 2017, SIAM/ASA J. Uncertain. Quantification.

Bayesian calibration with summary statistics for the prediction of xenon diffusion in UO2 nuclear fuel

H. Najm, K. Sargsyan, David Andersson, 2023, Computational Materials Science.

Estimating the joint distribution of rate parameters across multiple reactions in the absence of experimental data

Habib N. Najm, Tiernan Casey, H. Najm, 2019, Proceedings of the Combustion Institute.

Data free inference with processed data products

Habib N. Najm, Kenny Chowdhary, H. Najm, 2016, Stat. Comput..

Chance-constrained economic dispatch with renewable energy and storage

Cosmin Safta, Habib N. Najm, Jean-Paul Watson, 2018, Computational Optimization and Applications.

Using High-Order Methods on Adaptively Refined Block-Structured Meshes: Derivatives, Interpolations, and Filters

Habib N. Najm, Jaideep Ray, Sophia Lefantzi, 2007, SIAM J. Sci. Comput..

A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid

Cosmin Safta, Habib N. Najm, Ahmed F. Ghoniem, 2014, J. Comput. Phys..

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

Cosmin Safta, Habib N. Najm, Jaideep Ray, 2010, J. Comput. Phys..

High-order AMR computations of reacting flow with adaptive reduction of chemical stiffness

Cosmin Safta, Habib N. Najm, Mauro Valorani, 2008 .

Using the Common Component Architecture to design high performance scientific simulation codes

Habib N. Najm, Jaideep Ray, Sophia Lefantzi, 2003, Proceedings International Parallel and Distributed Processing Symposium.

Advanced algorithms for computations on block-structured adaptively refined meshes

Habib N. Najm, Jaideep Ray, Christopher A. Kennedy, 2005 .

2022 Review of Data-Driven Plasma Science

M. Salman Asif, B. V. Essen, R. Churchill, 2022, IEEE Transactions on Plasma Science.

TChem: A performance portable parallel software toolkit for complex kinetic mechanisms

Óscar H. Díaz-Ibarra, H. Najm, J. Zádor, 2022, Computer Physics Communications.

TChem v3.0 - A Software Toolkit for the Analysis of Complex Kinetic Models.

Óscar H. Díaz-Ibarra, H. Najm, C. Safta, 2021 .

TChem v2.0 - A Software Toolkit for the Analysis of Complex Kinetic Models.

Óscar H. Díaz-Ibarra, H. Najm, C. Safta, 2020 .

A numerical and experimental investigation of premixed methane-air flame transient response

H. Najm, O. Knio, P. Paul, 2000 .

Premixed flame response to unsteady strain-rate and curvature

Habib N. Najm, P. S. Wyckoff, Peter S. Wyckoff, 1996 .

Inference and combination of missing data sets for the determination of H2O2 thermal decomposition rate uncertainty

Habib N. Najm, Mohammad Khalil, Tiernan Casey, 2021 .

Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2015, J. Aerosp. Inf. Syst..

Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models

Khachik Sargsyan, Habib N. Najm, Bert J. Debusschere, 2015, Multiscale Model. Simul..

Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty

H. Najm, K. Sargsyan, Joy N. Mueller, 2023, 2311.00553.

Time Integration of Reacting Flows with CSP Tabulation

Y. Marzouk, M. Frenklach, H. Najm, 2009 .

Single-wafer integrated semiconductor device processing

Habib N. Najm, Mehrdad M. Moslehi, Richard A. Chapman, 1992 .

Evaluation of Rate Coefficients in the Gas Phase Using Machine-Learned Potentials.

H. Najm, J. Zádor, Carles Martí, 2024, The journal of physical chemistry. A.

A Semi-implicit Numerical Scheme for Reacting Flow

P. S. Wyckoff, H. Najm, O. Knio, 1998 .

Modeling low mach number reacting flow with detailed chemistry and transport

H. Najm, O. Knio, 2005 .

Surrogate Construction and Dimensionality Reduction via Bayesian Compressive Sensing.

Cosmin Safta, Khachik Sargsyan, Habib N. Najm, 2013 .

Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing

Khachik Sargsyan, Daniel M. Ricciuto, Cosmin Safta, 2015 .

Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone

H. Najm, C. Safta, N. Bieberdorf, 2024, ArXiv.

Numerical simulation of unsteady reacting flow with detailed kinetics

H. N. Najm, O. M. Knio, H. Najm, 2001 .

Response of stoichiometric and rich premixed methane–air flames to unsteady strain rate and curvature

P. S. Wyckoff, H. Najm, O. Knio, 1999 .

Effect of Stoichiometry and Strain Rate on Transient Flame Response

H. Najm, O. Knio, 2000 .