logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
arrow
O

Omar Ghattas

university of texas system
H-index:47
Citation Count:8,126
Views:0

Biography

No content for now.

Education

No content for now.

Work Experience

No content for now.

Honors & Awards

No content for now.

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
Stefan Henneking; Sreeram Venkat; Omar Ghattas
Resin percolation and intimate contact in fast processing of thermoplastic composites
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
IF8.9
2024-07-015
PRE
Kirchhoff, Joseph; Ghattas, Omar; Tehrani, Mehran
Volcanic arc rigidity variations illuminated by coseismic deformation of the 2011 Tohoku-oki M9
SCIENCE ADVANCES
IF12.5
2024-06-071
OAAI
Puel, Simone; Becker, Thorsten W.; Villa, Umberto; Ghattas, Omar; Liu, Dunyu
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
Alger, Nick; Hartland, Tucker; Petra, Noemi; Ghattas, Omar
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
Baptista, Ricardo; Cao, Lianghao; Chen, Joshua; Ghattas, Omar; Li, Fengyi; Marzouk, Youssef M.; Oden, J. Tinsley
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning
JOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
2024-01-0110
OAAI
O'Leary-Roseberry, Thomas; Chen, Peng; Villa, Umberto; Ghattas, Omar
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
Cao, Lianghao; Wu, Keyi; Oden, J. Tinsley; Chen, Peng; Ghattas, Omar
Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems
JOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
2023-08-0112
OAAI
Cao, Lianghao; O'Leary-Roseberry, Thomas; Jha, Prashant K.; Oden, J. Tinsley; Ghattas, Omar
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
Luo, Dingcheng; Cao, Lianghao; Chen, Peng; Ghattas, Omar; Oden, Tinsley
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
O'Leary-Roseberry, Thomas; Villa, Umberto; Chen, Peng; Ghattas, Omar
Uncertainty quantification of geologic model parameters in 3D gravity inversion by Hessian-informed Markov chain Monte Carlo
GEOPHYSICS
IF3.2
2022-12-068
PRE
Liang, Zhouji; Wellmann, Florian; Ghattas, Omar
Learning high-dimensional parametric maps via reduced basis adaptive residual networks
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
2022-12-0113
OAAI
O'Leary-Roseberry, Thomas; Du, Xiaosong; Chaudhuri, Anirban; Martins, Joaquim R. R. A.; Willcox, Karen; Ghattas, Omar
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
O'Leary-Roseberry, Thomas; Villa, Umberto; Chen, Peng; Ghattas, Omar
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
Chen, Peng; Wu, Keyi; Ghattas, Omar
STEIN VARIATIONAL REDUCED BASIS BAYESIAN INVERSION
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
2021-03-259
PRE
Chen, Peng; Ghattas, Omar
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
Alger, Nick; Chen, Peng; Ghattas, Omar
HIERARCHICAL MATRIX APPROXIMATIONS OF HESSIANS ARISING IN INVERSE PROBLEMS GOVERNED BY PDEs
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
2020-10-2211
OAAI
Ambartsumyan, Ilona; Boukaram, Wajih; Bui-Thanh, Tan; Ghattas, Omar; Keyes, David; Stadler, Georg; Turkiyyah, George; Zampini, Stefano
SCALABLE MATRIX-FREE ADAPTIVE PRODUCT-CONVOLUTION APPROXIMATION FOR LOCALLY TRANSLATION-INVARIANT OPERATORS
SIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
2019-07-239
OAAI
Alger, Nick; Rao, Vishwas; Myers, Aaron; Tan Bui-Thanh; Ghattas, Omar
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
Wang, Kainan; Tan Bui-Thanh; Ghattas, Omar
Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
2017-12-0136
OAAI
Chen, Peng; Villa, Umberto; Ghattas, Omar

Research Directions

The data has not been retrieved yet.
G
Georg Stadler
H-index:34Papers:181Citations:4,133
T
Tan Bui–Thanh
H-index:25Papers:128Citations:3,018
P
Peng Chen
H-index:23Papers:155Citations:1,563
U
Umberto Villa
H-index:19Papers:170Citations:1,100
T
Thomas O’Leary-Roseberry
H-index:9Papers:34Citations:247
K
Karen Willcox
H-index:58Papers:361Citations:2.1万
L
Lianghao Cao
H-index:5Papers:21Citations:110
N
Noémi Petra
H-index:11Papers:66Citations:656
C
Carsten Burstedde
H-index:22Papers:95Citations:4,819
N
Nick Alger
H-index:3Papers:21Citations:49