2026
Physics-Informed Self-Supervised Learning on Efficient Electron-Density Images for Organic Material Property Prediction
ICML 2026poster
Precise property prediction of organic materials is pivotal for next-generation electronic and energy devices. In density functional theory (DFT), the electron density (ED) serves as the fundamental determinant of material properties. Yet, establishing it as an input modality for material property p…