Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process

31 January 2022

Papers citing "Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process"

6 / 6 papers shown

Title
Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials Thi Nguyen Khoa Nguyen T. Dairay Raphael Meunier Christophe Millet Mathilde Mougeot AI4CE PINN 25 0 0 06 May 2024
Fixed-budget online adaptive learning for physics-informed neural networks. Towards parameterized problem inference T. Nguyen T. Dairay Raphael Meunier Christophe Millet Mathilde Mougeot OOD AI4CE 9 5 0 22 Dec 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations Saurabh Deshpande Stéphane P. A. Bordas J. Lengiewicz AI4CE GNN 79 27 0 01 Nov 2022
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 98 272 0 20 Apr 2021
$NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework$ NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework O. Hennigh S. Narasimhan M. A. Nabian Akshay Subramaniam Kaustubh Tangsali M. Rietmann J. Ferrandis Wonmin Byeon Z. Fang S. Choudhry PINN AI4CE 91 125 0 14 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020