Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction

Manasa Kaniselvan, Alexander Maeder, Chen Hao Xia +2

Equivariant Graph Neural Networks (eGNNs) trained on density-functional theory (DFT) data can potentially perform electronic structure prediction at unprecedented scales, enabling…