41 citations · 70 across the 4 of their papers we have counts for
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physics.comp-ph2020★ 29 cited
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials
Dongsun Yoo, Jisu Jung, Wonseok Jeong +1
The universal mathematical form of machine-learning potentials (MLPs) shifts the core of development of interatomic potentials to collecting proper training data. Ideally, the trai…
physics.comp-ph2020★ 41 cited
Training machine-learning potentials for crystal structure prediction using disordered structures
Changho Hong, Jeong Min Choi, Wonseok Jeong +6
Prediction of the stable crystal structure for multinary (ternary or higher) compounds with unexplored compositions demands fast and accurate evaluation of free energies in explori…