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most citedEvidence for the role of fluctuations in the thermodynamics of nanoscale drops and the implications in computations of the surface tension

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cond-mat.mtrl-sci2020

Machine Learning Potential for Hexagonal Boron Nitride Applied to Thermally and Mechanically Induced Rippling

Fabian L. Thiemann, Patrick Rowe, Erich A. Müller +1

We introduce an interatomic potential for hexagonal boron nitride (hBN) based on the Gaussian approximation potential (GAP) machine learning methodology. The potential is based on…