Symbolic Calculus

Bridging Physics and Deep Learning: PDE-NetGen for Physics-Informed Neural Networks Deep learning frameworks have revolutionized many fields, including physical science. However, designing deep neural network architectures that are consistent with physics remains a significant challenge. That’s where PDE-NetGen comes in. PDE-NetGen is a powerful package that automatically translates physical equations, represented as partial differential equations…