Ehsan Haghighat

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

Ehsan Haghighat, Maziar Raissi, Adrian Moure et al. · Computer Methods in Applied Mechanics and Engineering · 2021 · 1K citations

Engineering, Machine Learning, Physics +10

SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

Ehsan Haghighat, Rubén Juanes · Computer Methods in Applied Mechanics and Engineering · 2020 · 380 citations · Full text

Artificial Intelligence, Keras/tensorflow Wrapper, Scientific Computations +13

Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture

Sina Amini Niaki, Ehsan Haghighat, Trevor Campbell et al. · Computer Methods in Applied Mechanics and Engineering · 2021 · 283 citations · Full text

Materials Science, Physics-informed Neural Network, Engineering +11

PINNeik: Eikonal solution using physics-informed neural networks

Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah et al. · Computers & Geosciences · 2021 · 179 citations · Full text

Numerical Analysis, Eikonal Solution, Physics +2

A nonlocal physics-informed deep learning framework using the peridynamic differential operator

Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci et al. · Computer Methods in Applied Mechanics and Engineering · 2021 · 132 citations · Full text

Non-local Interaction, Peridynamic Differential Operator, Engineering +6