684 citations · 2.5k across the 32 of their papers we have counts for
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cond-mat.mtrl-sci2016★ 684 cited
Machine-learning based interatomic potential for amorphous carbon
Volker L. Deringer, Gábor Csányi
We introduce a Gaussian approximation potential (GAP) for atomistic simulations of liquid and amorphous elemental carbon. Based on a machine-learning representation of the density-…
cond-mat.mtrl-sci2016★ 27 cited
Lattice thermal expansion and anisotropic displacements in α-sulfur from diffraction experiments and first-principles theory
Janine George, Volker L. Deringer, Ai Wang +3
Thermal properties of solid-state materials are a fundamental topic of study with important practical implications. For example, anisotropic displacement parameters (ADPs) are rout…