Ehsan Haghighat

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Partial Differential Equations

Top Venues

J. Comput. Phys.

Eng. Appl. Artif. Intell.

Comput. Geosci.

Publications

Ayush Jain, Ehsan Haghighat, Sai Nelaturi
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures. CoRR (2024)
Ehsan Haghighat, Umair bin Waheed, George Em Karniadakis
A novel deeponet model for learning moving-solution operators with applications to earthquake hypocenter localization. CoRR (2023)
Seyed M. Mirvakili, Ehsan Haghighat, Douglas Sim
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators. CoRR (2023)
Danial Amini, Ehsan Haghighat, Ruben Juanes
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. J. Comput. Phys. 490 (2023)
Ehsan Haghighat, David Santillán
An efficient phase-field model of shear fractures using deviatoric stress split. CoRR (2023)
Ali Can Bekar, Ehsan Haghighat, Erdogan Madenci
Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator. CoRR (2023)
Ehsan Haghighat, Sahar Abouali, Reza Vaziri
Constitutive model characterization and discovery using physics-informed deep learning. Eng. Appl. Artif. Intell. 120 (2023)
A. Mavi, Ali Can Bekar, Ehsan Haghighat, Erdogan Madenci
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator. CoRR (2022)
Ehsan Haghighat, Sahar Abouali, Reza Vaziri
Constitutive model characterization and discovery using physics-informed deep learning. CoRR (2022)
Danial Amini, Ehsan Haghighat, Ruben Juanes
Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. CoRR (2022)
Danial Amini, Ehsan Haghighat, Ruben Juanes
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. CoRR (2022)
Mohammad Vahab, B. Shahbodagh, Ehsan Haghighat, Nasser Khalili
Application of Physics-Informed Neural Networks for Forward and Inverse Analysis of Pile-Soil Interaction. CoRR (2022)
Mohammad Vahab, Ehsan Haghighat, Maryam Khaleghi, Nasser Khalili
A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity. CoRR (2021)
Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah, Chao Song, Qi Hao
PINNeik: Eikonal solution using physics-informed neural networks. Comput. Geosci. 155 (2021)
Ehsan Haghighat, Danial Amini, Ruben Juanes
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training. CoRR (2021)
Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes
Deep learning for solution and inversion of structural mechanics and vibrations. CoRR (2021)
Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Ruben Juanes
A deep learning framework for solution and discovery in solid mechanics: linear elasticity. CoRR (2020)
Sina Amini Niaki, Ehsan Haghighat, Xinglong Li, Trevor Campbell, Reza Vaziri
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture. CoRR (2020)
Mengwu Guo, Ehsan Haghighat
An energy-based error bound of physics-informed neural network solutions in elasticity. CoRR (2020)
Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes
A nonlocal physics-informed deep learning framework using the peridynamic differential operator. CoRR (2020)
Ehsan Haghighat, Ruben Juanes
SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks. CoRR (2020)