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06 June 2022 16:30 - 18:30
Add Deep Learning Approaches for Applied Sciences and Engineering III Minisymposium organized by M. Giselle Fernández-Godino, Charles F. Jekel and Christian Gogu |
Room: Jan Mayen 3 MS117C Chair: Charles F. Jekel |
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A PINN-based model for coupled hydro-poromechanics in reservoir simulations
Caterina Millevoi, Nicolò Spiezia and Massimiliano Ferronato CoSTA: Improving physics-based models using deep learning Sindre S. Blakseth, Adil Rasheed, Trond Kvamsdal and Omer San Physics-informed neural networks applied to two-phase flow in porous media problems John Hanna, Jose V. Aguado, Sebastien Comas-Cardona, Ramzi Askri and Domenico Borzacchiello Towards understanding of boiling conjugate heat transfer using physics informed neural network Robin Kamenicky, Konstantinos Ritos, Victorita Dolean, Jennifer Pestana, Katherine Tant and Salaheddin Rahimi Deep learning model operating on graph structured data for assisting multiphase flows George El Haber, Jonathan Viquerat, Aurelien Larcher, David Ryckelynck and Elie Hachem Physics inspired neural network plasticity modeling Knut Andreas Meyer and Fredrik Ekre |
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