Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media

Autor: Rajabi, Mohammad Mahdi, Hajizadeh Javaran, Mohammad Reza, Bah, Amadou-oury, Frey, Gabriel, Le Ber, Florence, Lehmann, François, Fahs, Marwan

Publikováno v: In International Journal of Heat and Mass Transfer February 2022 183 Part B

Modeling natural convection in porous media using convolutional neural networks

Autor: Hajizadeh Javaran, Mohammad Reza, Bah, Amadou Oury, Rajabi, Mohammad Mahdi, Frey, Gabriel, Le Ber, Florence, Fahs, Marwan

Publikováno v: The Upper-Rhine Artificial Intelligence Symposium UR-AI 2021
The Upper-Rhine Artificial Intelligence Symposium UR-AI 2021, Oct 2021, Kaiserslautern, Germany. pp.150-157, ⟨10.48537/gdsj-nz68⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::dc2964c4b876d7d8e1411cc4522ddf5d
https://hal.science/hal-03698359/document