Differentiable Chemistry in PINNs for Solving Parameterized and Stiff Reaction Systems
arXiv:2605.04708v1 Announce Type: new
Abstract: From neural ODEs to continuous-time machine learning, differentiable solvers allow physics, optimization, and simulation to become trainable components within deep learning systems. This has opened the p…