Efficient electronic charge density modeling via Gaussian ansätze
ABSTRACT
The charge density is the central object of DFT, but computing it is expensive. We present ELECTRA, an equivariant machine-learning model that represents densities with floating Gaussian orbitals, and its periodic extension ELECTRAFI — together achieving state-of-the-art accuracy at a fraction of the inference cost.
