Physics-informed neural networks for the shallow-water equations on the sphere

1 April 2021

Papers citing "Physics-informed neural networks for the shallow-water equations on the sphere"

7 / 7 papers shown

Title
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Improving physics-informed neural networks with meta-learned optimization Alexander Bihlo PINN 36 18 0 13 Mar 2023
Improving trajectory calculations using deep learning inspired single image superresolution Rudiger Brecht L. Bakels Alexander Bihlo A. Stohl 13 0 0 07 Jun 2022
Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks Rudiger Brecht Alexander Bihlo 22 16 0 18 May 2022
Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks R. Mojgani Maciej Balajewicz P. Hassanzadeh PINN 25 45 0 05 May 2022
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 101 274 0 20 Apr 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,904 0 13 Jun 2015