MALOQ: Massively Accelerated Learning of Operators for Quantum Transport

Manasa Kaniselvan, Alexander Maeder, Denghui Lu +2

Machine-learned (ML) operator models can be trained to predict density functional theory (DFT) Hamiltonian/density matrices at significantly reduced computational cost, thus extend…