Synthetic pre-training of graph-network models for predicting solid-state NMR parameters

Chiheb Ben Mahmoud, Carlos Bornes, Christopher J. Heard +3

Nuclear magnetic resonance (NMR) is a powerful probe of atomic structure, but accurate quantum-mechanical predictions of tensorial NMR parameters are computationally demanding. Thi…