Mohammad Kohandel

Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data

In this work we perform symbolic discovery of differential operators in a situation where there is sparse experimental data. This small data regime in machine learning can be made tractable by providing our algorithms with prior information about the underlying dynamics. Physics Informed Neural Netw…