default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEhsan Haghighat
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i19]Ayush Jain, Ehsan Haghighat, Sai Nelaturi:
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures. CoRR abs/2402.01045 (2024)- [i18]Ehsan Haghighat, Mohammad Hesan Adeli, S. Mohammad Mousavi, Ruben Juanes:
STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirs. CoRR abs/2412.05576 (2024) - 2023
- [j3]Ehsan Haghighat
, Sahar Abouali, Reza Vaziri:
Constitutive model characterization and discovery using physics-informed deep learning. Eng. Appl. Artif. Intell. 120: 105828 (2023) - [j2]Danial Amini, Ehsan Haghighat, Ruben Juanes:
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. J. Comput. Phys. 490: 112323 (2023) - [i17]Ehsan Haghighat, David Santillán:
An efficient phase-field model of shear fractures using deviatoric stress split. CoRR abs/2303.07309 (2023) - [i16]Ali Can Bekar, Ehsan Haghighat, Erdogan Madenci:
Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator. CoRR abs/2303.15631 (2023) - [i15]Ehsan Haghighat, Umair bin Waheed, George Em Karniadakis:
A novel deeponet model for learning moving-solution operators with applications to earthquake hypocenter localization. CoRR abs/2306.04096 (2023) - [i14]Seyed M. Mirvakili, Ehsan Haghighat, Douglas Sim:
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators. CoRR abs/2310.02583 (2023) - 2022
- [i13]Danial Amini, Ehsan Haghighat, Ruben Juanes:
Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. CoRR abs/2203.01514 (2022) - [i12]Ehsan Haghighat, Sahar Abouali, Reza Vaziri:
Constitutive model characterization and discovery using physics-informed deep learning. CoRR abs/2203.09789 (2022) - [i11]Danial Amini, Ehsan Haghighat, Ruben Juanes:
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. CoRR abs/2209.03276 (2022) - [i10]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 abs/2210.12177 (2022) - [i9]Mohammad Vahab, B. Shahbodagh, Ehsan Haghighat, Nasser Khalili:
Application of Physics-Informed Neural Networks for Forward and Inverse Analysis of Pile-Soil Interaction. CoRR abs/2212.08306 (2022) - 2021
- [j1]Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah, Chao Song, Qi Hao:
PINNeik: Eikonal solution using physics-informed neural networks. Comput. Geosci. 155: 104833 (2021) - [i8]Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes:
Deep learning for solution and inversion of structural mechanics and vibrations. CoRR abs/2105.09477 (2021) - [i7]Mohammad Vahab, Ehsan Haghighat, Maryam Khaleghi, Nasser Khalili:
A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity. CoRR abs/2108.07243 (2021) - [i6]Ehsan Haghighat, Danial Amini, Ruben Juanes:
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training. CoRR abs/2110.03049 (2021) - 2020
- [i5]Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Ruben Juanes:
A deep learning framework for solution and discovery in solid mechanics: linear elasticity. CoRR abs/2003.02751 (2020) - [i4]Ehsan Haghighat, Ruben Juanes:
SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks. CoRR abs/2005.08803 (2020) - [i3]Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes:
A nonlocal physics-informed deep learning framework using the peridynamic differential operator. CoRR abs/2006.00446 (2020) - [i2]Mengwu Guo, Ehsan Haghighat:
An energy-based error bound of physics-informed neural network solutions in elasticity. CoRR abs/2010.09088 (2020) - [i1]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 abs/2011.13511 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-16 23:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
