Ruben Juanes | DeepAI

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Featured Co-authors

Jiawei Li
32 publications
Maziar Raissi
21 publications
Yuhang Wang
18 publications
Ehsan Haghighat
14 publications
Bernd Flemisch
12 publications
Dennis Gläser
10 publications
Hector Gomez
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Mary F. Wheeler
6 publications
Hadi Hajibeygi
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Hamdi Tchelepi
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Satish Karra
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∙ 02/09/2023

The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data

Successful deployment of geological carbon storage (GCS) requires an ext...

0 Bernd Flemisch, et al. ∙

∙ 09/07/2022

Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks

We propose a solution strategy for parameter identification in multiphas...

0 Danial Amini, et al. ∙

∙ 03/03/2022

Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media

Physics-Informed Neural Networks (PINNs) have received increased interes...

0 Danial Amini, et al. ∙

∙ 10/06/2021

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training

Physics-informed neural networks (PINNs) have received significant atten...

0 Ehsan Haghighat, et al. ∙

∙ 05/18/2021

Deep learning for solution and inversion of structural mechanics and vibrations

Deep learning has been the most popular machine learning method in the l...

0 Ehsan Haghighat, et al. ∙

∙ 05/31/2020

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

The Physics-Informed Neural Network (PINN) framework introduced recently...

9 Ehsan Haghighat, et al. ∙

∙ 05/11/2020

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

In this paper, we introduce SciANN, a Python package for scientific comp...

1 Ehsan Haghighat, et al. ∙

∙ 02/14/2020

A deep learning framework for solution and discovery in solid mechanics

We present the application of a class of deep learning, known as Physics...

1 Ehsan Haghighat, et al. ∙

∙ 02/14/2020

A deep learning framework for solution and discovery in solid mechanics: linear elasticity

We present the application of a class of deep learning, known as Physics...

1 Ehsan Haghighat, et al. ∙

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