PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations

Olivier Pannekoucke, Ronan Fablet

Bridging physics and deep learning is a topical challenge. While deep learning frameworks open avenues in physical science, the design of physically-consistent deep neural network…