Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks
arXiv:2604.04636v1 Announce Type: cross
Abstract: Characterizing crystalline energy landscapes is essential to predicting thermodynamic stability, electronic structure, and functional behavior. While machine learning (ML) enables rapid property predic…