Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
arXiv:2605.05217v1 Announce Type: cross
Abstract: We propose a self-supervised physics-informed neural network (PINN) framework that adaptively balances physics-based and data-driven supervision for scientific machine learning under data scarcity. Unl…