Robust streamline tracing for the simulation of porous media flow on general triangular and quadrilateral grids. - Sébastien F. Matringe; Ruben Juanes; Hamdi A. Tchelepi (J. Comput. Phys., 2006)

Adaptive rational spectral methods for the linear stability analysis of nonlinear fourth-order problems. - Luis Cueto-Felgueroso; Ruben Juanes (J. Comput. Phys., 2009)

Unified Formulation for High-Order Streamline Tracing on Two-Dimensional Unstructured Grids. - Ruben Juanes; Sébastien F. Matringe (J. Sci. Comput., 2009)

Three-dimensional simulation of unstable gravity-driven infiltration of water into a porous medium. - Héctor Gómez; Luis Cueto-Felgueroso; Ruben Juanes (J. Comput. Phys., 2013)

Self-organization of network dynamics into local quantized states. - Christos Nicolaides; Ruben Juanes; Luis Cueto-Felgueroso (CoRR, 2015)

A deep learning framework for solution and discovery in solid mechanics: linear elasticity. - Ehsan Haghighat; Maziar Raissi; Adrian Moure; Héctor Gómez; Ruben Juanes (CoRR, 2020)

SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks. - Ehsan Haghighat; Ruben Juanes (CoRR, 2020)

A nonlocal physics-informed deep learning framework using the peridynamic differential operator. - Ehsan Haghighat; Ali Can Bekar; Erdogan Madenci; Ruben Juanes (CoRR, 2020)

Deep learning for solution and inversion of structural mechanics and vibrations. - Ehsan Haghighat; Ali Can Bekar; Erdogan Madenci; Ruben Juanes (CoRR, 2021)

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training. - Ehsan Haghighat; Danial Amini; Ruben Juanes (CoRR, 2021)

Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. - Danial Amini; Ehsan Haghighat; Ruben Juanes (CoRR, 2022)

The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. - Bernd Flemisch; Jan M. Nordbotten; Martin A. Fernø; Ruben Juanes; Holger Class; Mojdeh Delshad; Florian Doster; Jonathan Ennis-King; Jacques Franc; Sebastian Geiger; Dennis Gläser; Christopher Green; et al. (CoRR, 2023)

Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. - Danial Amini; Ehsan Haghighat; Ruben Juanes (J. Comput. Phys., 2023)

STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirs. - Ehsan Haghighat; Mohammad Hesan Adeli; S. Mohammad Mousavi; Ruben Juanes (CoRR, 2024)