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Journal Articles
- 2023
[j5]Danial Amini, Ehsan Haghighat, Ruben Juanes:
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. J. Comput. Phys. 490: 112323 (2023)- 2013
- [j4]Héctor Gómez
, Luis Cueto-Felgueroso, Ruben Juanes:
Three-dimensional simulation of unstable gravity-driven infiltration of water into a porous medium. J. Comput. Phys. 238: 217-239 (2013) - 2009
- [j3]Luis Cueto-Felgueroso, Ruben Juanes:
Adaptive rational spectral methods for the linear stability analysis of nonlinear fourth-order problems. J. Comput. Phys. 228(17): 6536-6552 (2009) - [j2]Ruben Juanes, Sébastien F. Matringe:
Unified Formulation for High-Order Streamline Tracing on Two-Dimensional Unstructured Grids. J. Sci. Comput. 38(1): 50-73 (2009) - 2006
- [j1]Sébastien F. Matringe, Ruben Juanes, Hamdi A. Tchelepi:
Robust streamline tracing for the simulation of porous media flow on general triangular and quadrilateral grids. J. Comput. Phys. 219(2): 992-1012 (2006)
Informal and Other Publications
- 2023
- [i9]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:
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data. CoRR abs/2302.10986 (2023) - 2022
- [i8]Danial Amini, Ehsan Haghighat, Ruben Juanes:
Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. CoRR abs/2203.01514 (2022) - [i7]Danial Amini, Ehsan Haghighat, Ruben Juanes:
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks. CoRR abs/2209.03276 (2022) - 2021
- [i6]Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes:
Deep learning for solution and inversion of structural mechanics and vibrations. CoRR abs/2105.09477 (2021) - [i5]Ehsan Haghighat, Danial Amini, Ruben Juanes:
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training. CoRR abs/2110.03049 (2021) - 2020
- [i4]Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Ruben Juanes:
A deep learning framework for solution and discovery in solid mechanics: linear elasticity. CoRR abs/2003.02751 (2020) - [i3]Ehsan Haghighat, Ruben Juanes:
SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks. CoRR abs/2005.08803 (2020) - [i2]Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes:
A nonlocal physics-informed deep learning framework using the peridynamic differential operator. CoRR abs/2006.00446 (2020) - 2015
- [i1]Christos Nicolaides, Ruben Juanes, Luis Cueto-Felgueroso:
Self-organization of network dynamics into local quantized states. CoRR abs/1509.05243 (2015)
Coauthor Index
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