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most citedGraph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition

8 citations · 9 across the 7 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 8 cited

Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition

Chiheb Ben Mahmoud, Louise A. M. Rosset, Jonathan R. Yates +1

Nuclear magnetic resonance (NMR) is a powerful spectroscopic technique that is sensitive to the local atomic structure of matter. Computational predictions of NMR parameters can he…

cond-mat.mtrl-sci2024

Signatures of paracrystallinity in amorphous silicon

Louise A. M. Rosset, David A. Drabold, Volker L. Deringer

The structure of amorphous silicon (a-Si) has been studied for decades. The two main theories are based on a continuous random network and on a `paracrystalline' model, respectivel…