Prefer a chat interface with context about you and your work?
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Recently, physics-informed neural networks (PINNs) have offered a powerful new paradigm for solving problems relating to differential equations. Compared to classical numerical methods PINNs have several advantages, for example their ability to provide mesh-free solutions of differential equations and their ability to carry out forward and inverse modelling within the …