EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations

7 April 2023

Papers citing "EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations"

6 / 6 papers shown

Title
Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation? Yingdong Ru Lipeng Zhuang Zhuo He Florent P. Audonnet Gerardo Aragon-Caramasa AI4CE 51 0 0 20 Mar 2025
Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks Van Truong Vo Samad Noeiaghdam D. N. Sidorov A. Dreglea Liguo Wang PINN 81 0 0 22 Dec 2024
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling Siddhant Dutta Nouhaila Innan Sadok Ben Yahia Muhammad Shafique PINN 32 0 0 03 Sep 2024
VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior Seungchan Ko Sang Hyeon Park 37 2 0 10 Jun 2024
MAgNet: Mesh Agnostic Neural PDE Solver Oussama Boussif D. Assouline L. Benabbou Yoshua Bengio AI4CE 103 29 0 11 Oct 2022
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations Ramansh Sharma Varun Shankar 37 40 0 19 May 2022