150 citations · 491 across the 9 of their papers we have counts for
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physics.comp-ph2018★ 51 cited
Building machine learning force fields for nanoclusters
Claudio Zeni, Kevin Rossi, Aldo Glielmo +4
We assess Gaussian process (GP) regression as a technique to model interatomic forces in metal nanoclusters by analysing the performance of 2-body, 3-body and many-body kernel func…
physics.comp-ph2018★ 150 cited
Efficient nonparametric -body force fields from machine learning
Aldo Glielmo, Claudio Zeni, Alessandro De Vita
We provide a definition and explicit expressions for -body Gaussian Process (GP) kernels which can learn any interatomic interaction occurring in a physical system, up to -bo…