v0

DeepPhiELM is a fast and accurate framework for solving partial differential equations (PDEs) using Physics-Informed Extreme Learning Machines with numerical differentiation. It combines the rapid training of ELMs with physics constraints, using NumPy/SciPy instead of automatic differentiation frameworks.

DOI

DeepPhiELM is a fast and accurate framework for solving partial differential equations (PDEs) using Physics-Informed Extreme Learning Machines with numerical differentiation. It combines the rapid training of ELMs with physics constraints, using NumPy/SciPy instead of automatic differentiation frameworks.