Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
A Graph‐Potential Cross‐Modal Contrastive Learning framework designed to uncover correlations between crystal and electronic structures and drive artificial intelligence to transcend simple numerical fitting and learn physically informative representations, facilitating future potential‐contour‐based inverse material d...