428 citations · 1.6k across the 21 of their papers we have counts for
21 papers
Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment
Hannah Lu, Lluis Salo-Salgado, Yun-Ting Chou +2
Accurate prediction and parameter identification of multiphase flow in porous media remain central challenges in geological carbon dioxide storage due to strong nonlinearities, hig…
STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
Ehsan Haghighat, Mohammad Hesan Adeli, S Mohammad Mousavi +1
In this work, we introduce a novel neural operator, the Solute Transport Operator Network (STONet), to efficiently model contaminant transport in micro-cracked porous media. STONet…
An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
Ehsan Haghighat, Umair bin Waheed, George Karniadakis
The Eikonal equation plays a central role in seismic wave propagation and hypocenter localization, a crucial aspect of efficient earthquake early warning systems. Despite recent pr…
Multiphysics discovery with moving boundaries using Ensemble SINDy and Peridynamic Differential Operator
A. C. Bekar, E. Haghighat, E. Madenci
This study proposes a novel framework for learning the underlying physics of phenomena with moving boundaries. The proposed approach combines Ensemble SINDy and Peridynamic Differe…
An efficient phase-field model of shear fractures using deviatoric stress split
Ehsan Haghighat, David Santillán
We propose a phase-field model of shear fractures using the deviatoric stress decomposition (DSD). This choice allows us to use general three-dimensional Mohr-Coulomb's (MC) failur…
Application of Physics-Informed Neural Networks for Forward and Inverse Analysis of Pile-Soil Interaction
M. Vahab, B. Shahbodagh, E. Haghighat +1
The application of the Physics-Informed Neural Networks (PINNs) to forward and inverse analysis of pile-soil interaction problems is presented. The main challenge encountered in th…