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E

Ehsan Haghighat

Massachusetts Institute of Technology

23H-index
67Paper Count
3.2KCitation Count
Published Papers 24
Publication Date
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STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
errAdvances in Water Resources
IF4.2
err2025-07-23
err0
PREAI
errEhsan Haghighat; Mohammad Hesan Adeli; S. Mohammad Mousavi; Ruben Juanes
errShare
errSave
Multiphysics discovery with moving boundaries using Ensemble SINDy and peridynamic differential operator
errENGINEERING WITH COMPUTERS
IF4.9
err2024-09-16
err0
PREAI
errBekar, Ali Can; Haghighat, Ehsan; Madenci, Erdogan
errShare
errSave
LatticeGraphNet: a two-scale graph neural operator for simulating lattice structures
errENGINEERING WITH COMPUTERS
IF4.9
err2024-09-14
err0
PREAI
errJain, Ayush; Haghighat, Ehsan; Nelaturi, Sai
errShare
errSave
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators
errADVANCED MATERIALS TECHNOLOGIES
IF6.2
err2024-02-09
err0
errOAAI
errMirvakili, Seyed Mo; Haghighat, Ehsan; Sim, Douglas
errShare
errSave
En-DeepONet: An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-02-01
err6
PREAI
errHaghighat, Ehsan; bin Waheed, Umair; Karniadakis, George
errShare
errSave
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2023-10-01
err25
errOAAI
errAmini, Danial; Haghighat, Ehsan; Juanes, Ruben
errShare
errSave
Application of Physics-Informed Neural Networks for forward and inverse analysis of pile-soil interaction
errINTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
IF3.8
err2023-08-01
err20
errOAAI
errVahab, M.; Shahbodagh, B.; Haghighat, E.; Khalili, N.
errShare
errSave
An efficient phase-field model of shear fractures using deviatoric stress split
errCOMPUTATIONAL MECHANICS
IF3.8
err2023-05-24
err7
errOAAI
errHaghighat, Ehsan; Santillan, David
errShare
errSave
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2023-03-01
err13
errOAAI
errMavi, Arda; Bekar, Ali Can; Haghighat, Ehsan; Madenci, Erdogan
errShare
errSave
Physics-Informed Neural Network Solution of Thermo-Hydro-Mechanical Processes in Porous Media
errengineering fracture mechanics
IF3.2
err2022-11-01
err28
errOAAI
errAmini, Danial; Haghighat, Ehsan; Juanes, Rubn
errShare
errSave
Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity
errengineering fracture mechanics
IF3.2
err2022-08-01
err11
errOAAI
errGuo, Mengwu; Haghighat, Ehsan
errShare
errSave
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2022-07-01
err67
errOAAI
errHaghighat, Ehsan; Amini, Danial; Juanes, Ruben
errShare
errSave
On the solution of hyperbolic equations using the peridynamic differential operator
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2022-03-01
err17
PREAI
errBekar, Ali Can; Madenci, Erdogan; Haghighat, Ehsan
errShare
errSave
A Physics-Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity
errengineering fracture mechanics
IF3.2
err2022-02-01
err36
errOAAI
errVahab, Mohammad; Haghighat, Ehsan; Khaleghi, Maryam; Khalili, Nasser
errShare
errSave
A computational framework for meso and macroscale analysis of structural masonry
errINTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
IF3.8
err2022-02-01
err2
errOAAI
errKoocheki, K.; Pietruszczak, S.; Haghighat, E.
errShare
errSave
A nonlocal physics-informed deep learning framework using the peridynamic differential operator
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-11-01
err74
errOAAI
errHaghighat, Ehsan; Bekar, Ali Can; Madenci, Erdogan; Juanes, Ruben
errShare
errSave
Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-10-01
err147
errOAAI
errNiaki, Sina Amini; Haghighat, Ehsan; Campbell, Trevor; Poursartip, Anoush; Vaziri, Reza
errShare
errSave
PINNeik: Eikonal solution using physics-informed neural networks
errCOMPUTERS & GEOSCIENCES
IF4.4
err2021-10-01
err100
errOAAI
errbin Waheed, Umair; Haghighat, Ehsan; Alkhalifah, Tariq; Song, Chao; Hao, Qi
errShare
errSave
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-06-01
err522
PREAI
errHaghighat, Ehsan; Raissi, Maziar; Moure, Adrian; Gomez, Hector; Juanes, Ruben
errShare
errSave
SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-01-01
err228
errOAAI
errHaghighat, Ehsan; Juanes, Ruben
errShare
errSave

Research Directions

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Co-authors
Cooperation Journals
G
George Em Karniadakis
H-index: 130 · Papers: 1.3K
M
Mark D. Zoback
H-index: 94 · Papers: 629
R
Rubén Juanes
H-index: 59 · Papers: 500
E
Erdogan Madenci
H-index: 53 · Papers: 500
T
Tariq Alkhalifah
H-index: 52 · Papers: 813
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