2 papers
cond-mat.mtrl-sci2025
Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Wei Shan Lee, I Hang Kwok, Kam Ian Leong +2
Accurate prediction of electronic band structures in two-dimensional materials remains a fundamental challenge, with existing methods struggling to balance computational efficiency…
cs.LG2025
Breaking the Precision Ceiling in Physics-Informed Neural Networks: A Hybrid Fourier-Neural Architecture for Ultra-High Accuracy
Wei Shan Lee, Chi Kiu Althina Chau, Kei Chon Sio +1
Physics-informed neural networks (PINNs) have plateaued at errors of - for fourth-order partial differential equations, creating a perceived precision ceiling tha…