Physics-Informed Neural State Space Models via Learning and Evolution

Elliott Skomski, Jan Drgona, Aaron Tuor

Recent works exploring deep learning application to dynamical systems modeling have demonstrated that embedding physical priors into neural networks can yield more effective, physi…