3 citations · 3 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026
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…
physics.comp-ph2018★ 3 cited
The Lorentz sphere visualized
Simone Sturniolo, Jonathan Yates
From the inception of Nuclear Magnetic Resonance as a spectroscopic technique, the local origin of chemical shifts has been a topic of discussion. A useful concept employed to desc…