Ruben Juanes

According to our database, Ruben Juanes authored at least 14 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

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

Danial Amini, Ehsan Haghighat, Ruben Juanes

J. Comput. Phys., 2023

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, James Gunning, Hadi Hajibeygi, Samuel J. Jackson, Mohamad Jammoul, Satish Karra, Jiawei Li, Stephan K. Matthäi, Terry Miller, Qi Shao, Catherine Spurin, Philip Stauffer, Hamdi A. Tchelepi, Xiaoming Tian, Hari S. Viswanathan, Denis V. Voskov, Yuhang Wang, Michiel Wapperom, Mary F. Wheeler, Andrew Wilkins, AbdAllah A. Youssef, Ziliang Zhang

CoRR, 2023

2022

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

Danial Amini, Ehsan Haghighat, Ruben Juanes

CoRR, 2022

2021

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

Ehsan Haghighat, Danial Amini, Ruben Juanes

CoRR, 2021

Deep learning for solution and inversion of structural mechanics and vibrations.

Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes

CoRR, 2021

2020

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

Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, 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 deep learning framework for solution and discovery in solid mechanics: linear elasticity.

Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Ruben Juanes

CoRR, 2020

2015

Self-organization of network dynamics into local quantized states.

Christos Nicolaides, Ruben Juanes, Luis Cueto-Felgueroso

CoRR, 2015

2013

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

2009

Unified Formulation for High-Order Streamline Tracing on Two-Dimensional Unstructured Grids.

Ruben Juanes, Sébastien F. Matringe

J. Sci. Comput., 2009

Adaptive rational spectral methods for the linear stability analysis of nonlinear fourth-order problems.

Luis Cueto-Felgueroso, Ruben Juanes

J. Comput. Phys., 2009

2006

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