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Found 2 papers, 2 papers with code
Uncertainty estimation for molecular dynamics and sampling
Given the interpolative nature of these models, the reliability of predictions depends on the position in phase space, and it is crucial to obtain an estimate of the error that derives from the finite number of reference structures included during the training of the model.
Building machine learning force fields for nanoclusters
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 functions on a set of 19-atom Ni cluster structures.
Computational Physics
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