2 citations · 3 across the 10 of their papers we have counts for
3 papers · 1 filter
On Machine Learning Force Fields for Metallic Nanoparticles
Claudio Zeni, Kevin Rossi, Aldo Glielmo +1
Machine learning algorithms have recently emerged as a tool to generate force fields which display accuracies approaching the ones of the ab-initio calculations they are trained on…
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…
Metallic nanoparticles meet Metadynamics
Luca Pavan, Kevin Rossi, Francesca Baletto
We show how standard Metadynamics coupled with classical Molecular Dynamics can be successfully ap- plied to sample the configurational and free energy space of metallic and bimeta…