Prefer a chat interface with context about you and your work?
A Unified Scalable Framework for Causal Sweeping Strategies for Physics-Informed Neural Networks (Pinns) and Their Temporal Decompositions
Physics-informed neural networks (PINNs) as a means of solving partial differential equations (PDE) have garnered much attention in the Computational Science and Engineering (CS&E) world. However, a recent topic of interest is exploring various training (i.e., optimization) challenges – in particular, arriving at poor local minima in the optimization landscape …