hamiltonian-prediction

MALOQ introduces a massively accelerated machine learning model for predicting density functional theory Hamiltonian/density matrices, enabling electronic-structure calculations for systems with up to 100k atoms using an SO(2)-equivariant backbone and scalable graph distribution, achieving over 30% time-per-epoch reduction on the Alps supercomputer.