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O

Omar Ghattas

university of texas system

H指数:47

被引数:8,126

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Goal-Oriented Real-Time Bayesian Inference for Linear Autonomous Dynamical Systems With Application to Digital Twins for Tsunami Early Warning

Journal of Computational Physics

IF3.8

2026-01-140

PRE

Resin percolation and intimate contact in fast processing of thermoplastic composites

COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

IF8.9

2024-07-015

PRE

Volcanic arc rigidity variations illuminated by coseismic deformation of the 2011 Tohoku-oki M9

SCIENCE ADVANCES

IF12.5

2024-06-071

OAAI

POINT SPREAD FUNCTION APPROXIMATION OF HIGH-RANK HESSIANS WITH LOCALLY SUPPORTED NONNEGATIVE INTEGRAL KERNELS

SIAM JOURNAL ON SCIENTIFIC COMPUTING

IF2.6

2024-05-130

OA

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

嵌段共聚物自组装的贝叶斯模型校准: 通过测量传输的无似然推断和预期信息增益计算

JOURNAL OF COMPUTATIONAL PHYSICS

IF3.8

2024-04-012

OAAI

Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning

JOURNAL OF COMPUTATIONAL PHYSICS

IF3.8

2024-01-0110

OAAI

Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2023-12-011

OAAI

Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems

JOURNAL OF COMPUTATIONAL PHYSICS

IF3.8

2023-08-0112

OAAI

Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm

JOURNAL OF COMPUTATIONAL PHYSICS

IF3.8

2023-07-014

OAAI

Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (vol 388, 114199, 2022)

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2023-01-010

PRE

Uncertainty quantification of geologic model parameters in 3D gravity inversion by Hessian-informed Markov chain Monte Carlo

IF3.2

2022-12-068

PRE

Learning high-dimensional parametric maps via reduced basis adaptive residual networks

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2022-12-0113

OAAI

Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2022-01-0134

OAAI

Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2021-11-0111

OAAI

STEIN VARIATIONAL REDUCED BASIS BAYESIAN INVERSION

SIAM JOURNAL ON SCIENTIFIC COMPUTING

IF2.6

2021-03-259

PRE

TENSOR TRAIN CONSTRUCTION FROM TENSOR ACTIONS, WITH APPLICATION TO COMPRESSION OF LARGE HIGH ORDER DERIVATIVE TENSORS

SIAM JOURNAL ON SCIENTIFIC COMPUTING

IF2.6

2020-10-2711

OAAI

HIERARCHICAL MATRIX APPROXIMATIONS OF HESSIANS ARISING IN INVERSE PROBLEMS GOVERNED BY PDEs

SIAM JOURNAL ON SCIENTIFIC COMPUTING

IF2.6

2020-10-2211

OAAI

SCALABLE MATRIX-FREE ADAPTIVE PRODUCT-CONVOLUTION APPROXIMATION FOR LOCALLY TRANSLATION-INVARIANT OPERATORS

SIAM JOURNAL ON SCIENTIFIC COMPUTING

IF2.6

2019-07-239

OAAI

A RANDOMIZED MAXIMUM A POSTERIORI METHOD FOR POSTERIOR SAMPLING OF HIGH DIMENSIONAL NONLINEAR BAYESIAN INVERSE PROBLEMS

SIAM JOURNAL ON SCIENTIFIC COMPUTING

IF2.6

2018-01-0140

PREAI

Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2017-12-0136

OAAI