Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
ABSTRACT Precise work function engineering in two‐dimensional (2D) materials is pivotal for next‐generation nanoelectronic devices. However, current data‐driven approaches are often hampered by the scarcity of high‐precision data and a lack of physical interpretability. We propose a Graph‐Potential Cross‐Modal Contrast...