Cheng-Qian Zhang

Learning Electron Density with Virtual Atoms for Transferable Atomistic Representations

Electron density is a fundamental quantity of electronic structure, yet most machine learning density models treat it solely as a reconstruction target and are developed separately from machine learning interatomic potentials. Here, we introduce a virtual-atom formulation within the DPA3 framework, in which density que...