76 citations · 229 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2018★ 76 cited
Band gap prediction for large organic crystal structures with machine learning
Bart Olsthoorn, R. Matthias Geilhufe, Stanislav S. Borysov +1
Machine-learning models are capable of capturing the structure-property relationship from a dataset of computationally demanding ab initio calculations. Over the past two years, th…
cond-mat.mtrl-sci2018★ 35 cited
Materials Informatics for Dark Matter Detection
R. Matthias Geilhufe, Bart Olsthoorn, Alfredo Ferella +4
Dark Matter particles are commonly assumed to be weakly interacting massive particles (WIMPs) with a mass in the GeV to TeV range. However, recent interest has shifted towards ligh…