$Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations$

Physics-informed neural networks for solving Reynolds-averaged Navier $\unicode{x2013}$ Stokes equations

22 July 2021

Ricardo Vinuesa

Papers citing "Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations"

3 / 3 papers shown

Title
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations Hamidreza Eivazi Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 82 0 0 27 Mar 2025
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks D. Veerababu Prasanta K. Ghosh 83 0 0 26 Mar 2025
Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets Sangam Khanal Shilaj Baral Joongoo Jeon AI4CE 146 2 0 06 Feb 2025