Physics-aware deep neural networks for surrogate modeling of turbulent natural convection

5 March 2021

Papers citing "Physics-aware deep neural networks for surrogate modeling of turbulent natural convection"

5 / 5 papers shown

Title
Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences Siddhartha Mishra T. Konstantin Rusch 68 49 0 26 May 2020
Reservoir computing model of two-dimensional turbulent convection S. Pandey J. Schumacher 49 42 0 28 Jan 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 89 293 0 13 Jan 2020
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 81 2,109 0 27 May 2019
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 179 2,195 0 24 Jun 2012