Learning the Dynamics of Physical Systems from Sparse Observations with
Finite Element Networks

Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks

16 March 2022

Stephan Günnemann

Papers citing "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks"

6 / 6 papers shown

Title
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur P. Toshev Ludger Paehler A. Panizza Nikolaus A. Adams AI4CE PINN 19 5 0 31 Mar 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 27 49 0 14 Nov 2022
torchode: A Parallel ODE Solver for PyTorch Marten Lienen Stephan Günnemann LRM 19 11 0 22 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 58 118 0 30 Sep 2022
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015