Curvature-aware dynamic precision approach for physics-informed neural networks

Yingjie Shao, Ioannis N. Athanasiadis, George van Voorn +1

Physics-informed neural networks (PINNs) have become a promising framework for simulating partial differential equations (PDEs) by embedding physical laws directly into neural netw…