Search Results - "Najm, Habib N"

Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics by NAJM, Habib N

“…The quantification of uncertainty in computational fluid dynamics (CFD) predictions is both a significant challenge and an important goal. Probabilistic…”
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Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems by Marzouk, Youssef M., Najm, Habib N.

“…We consider a Bayesian approach to nonlinear inverse problems in which the unknown quantity is a spatial or temporal field, endowed with a hierarchical…”
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Stochastic spectral methods for efficient Bayesian solution of inverse problems by Marzouk, Youssef M., Najm, Habib N., Rahn, Larry A.

“…We present a reformulation of the Bayesian approach to inverse problems, that seeks to accelerate Bayesian inference by using polynomial chaos (PC) expansions…”
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Accelerated Saddle Point Refinement through Full Exploitation of Partial Hessian Diagonalization by Hermes, Eric D, Sargsyan, Khachik, Najm, Habib N, Zádor, Judit

“…Identification and refinement of first order saddle point (FOSP) structures on the potential energy surface (PES) of chemical systems is a computational…”
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Trajectory design via unsupervised probabilistic learning on optimal manifolds by Safta, Cosmin, Ghanem, Roger G., Grant, Michael J., Sparapany, Michael, Najm, Habib N.

“…Abstract This article illustrates the use of unsupervised probabilistic learning techniques for the analysis of planetary reentry trajectories. A…”
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Trajectory design via unsupervised probabilistic learning on optimal manifolds – Corrigendum by Safta, Cosmin, Ghanem, Roger G., Grant, Michael J., Sparapany, Michael, Najm, Habib N.

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The origin of CEMA and its relation to CSP by Goussis, Dimitris A., Im, Hong G., Najm, Habib N., Paolucci, Samuel, Valorani, Mauro

“…There currently exist two methods for analysing an explosive mode introduced by chemical kinetics in a reacting process: the Computational Singular…”
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Compressive sensing adaptation for polynomial chaos expansions by Tsilifis, Panagiotis, Huan, Xun, Safta, Cosmin, Sargsyan, Khachik, Lacaze, Guilhem, Oefelein, Joseph C., Najm, Habib N., Ghanem, Roger G.

“…•Basis Adaptation is determined by minimizing the fitting error.•The Hermite Chaos coefficients are estimated using ℓ1-minimization.•The reduced dimension is…”
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Evaluation of Rate Coefficients in the Gas Phase Using Machine-Learned Potentials by Martí, Carles, Devereux, Christian, Najm, Habib N., Zádor, Judit

“…We assess the capability of machine-learned potentials to compute rate coefficients by training a neural network (NN) model and applying it to describe the…”
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Comprehensive Kinetics on the C 7 H 7 Potential Energy Surface under Combustion Conditions by Martí, Carles, Michelsen, Hope A, Najm, Habib N, Zádor, Judit

“…The automated kinetics workflow code, KinBot, was used to explore and characterize the regions of the C H potential energy surface that are relevant to…”
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Automated Reaction Kinetics of Gas-Phase Organic Species over Multiwell Potential Energy Surfaces by Zádor, Judit, Martí, Carles, Van de Vijver, Ruben, Johansen, Sommer L., Yang, Yoona, Michelsen, Hope A., Najm, Habib N.

“…Automation of rate-coefficient calculations for gas-phase organic species became possible in recent years and has transformed how we explore these complicated…”
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Sella, an Open-Source Automation-Friendly Molecular Saddle Point Optimizer by Hermes, Eric D., Sargsyan, Khachik, Najm, Habib N., Zádor, Judit

“…We present a new algorithm for the optimization of molecular structures to saddle points on the potential energy surface using a redundant internal coordinate…”
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Comprehensive Kinetics on the C7H7 Potential Energy Surface under Combustion Conditions by Martí, Carles, Michelsen, Hope A., Najm, Habib N., Zádor, Judit

“…The automated kinetics workflow code, KinBot, was used to explore and characterize the regions of the C7H7 potential energy surface that are relevant to…”
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Multifidelity Neural Network Formulations for Prediction of Reactive Molecular Potential Energy Surfaces by Yang, Yoona, Eldred, Michael S., Zádor, Judit, Najm, Habib N.

“…This paper focuses on the development of multifidelity modeling approaches using neural network surrogates, where training data arising from multiple model…”
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Diffusion-Limited Kinetics in Reactive Systems by Johnson, Matthew S., Mueller, Joy N., Daniels, Craig, Najm, Habib N., Zádor, Judit

“…A proper representation of chemical kinetics is vital to understanding, modeling, and optimizing many important chemical processes. In liquid and surface…”
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Bayesian estimation of Karhunen–Loève expansions; A random subspace approach by Chowdhary, Kenny, Najm, Habib N.

“…One of the most widely-used procedures for dimensionality reduction of high dimensional data is Principal Component Analysis (PCA). More broadly,…”
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Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques by Chowdhary, Kenny, Safta, Cosmin, Najm, Habib N.

“…In this work, we provide a method for enhancing stochastic Galerkin moment calculations to the linear elliptic equation with random diffusivity using an…”
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Bayesian Nonlocal Operator Regression: A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification by Fan, Yiming, D’Elia, Marta, Yu, Yue, Najm, Habib N., Silling, Stewart

“…AbstractWe consider the problem of modeling heterogeneous materials where microscale dynamics and interactions affect global behavior. In the presence of…”
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Uncertainty quantification in LES of a turbulent bluff-body stabilized flame by Khalil, Mohammad, Lacaze, Guilhem, Oefelein, Joseph C., Najm, Habib N.

“…We address the forward uncertainty quantification problem in large eddy simulation (LES) of a turbulent non-premixed hydrocarbon flame, focusing on parametric…”
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Probabilistic inference of reaction rate parameters from summary statistics by Khalil, Mohammad, Najm, Habib N.

“…This investigation tackles the probabilistic parameter estimation problem involving the Arrhenius parameters for the rate coefficient of the chain branching…”
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