activity
20152020
collaborators

9 papers

cond-mat.mes-hall2020

A universal signature in the melting of metallic nanoparticles

L. Delgado-Callico, K. Rossi, R. Pinto-Miles +2

Characterizing the melting behaviour of monometallic nanoparticles is a great challenge from both the experimental and the theoretical point of view. To this end, we disclose a uni…

physics.comp-ph2019

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…

cond-mat.mes-hall2018

A genomic characterization of metallic nanoparticles

Kevin Rossi, Gian Giacomo Asara, Francesca Baletto

With a focus on platinum nanoparticles of different sizes (diameter of 1-9 nm) and shapes, we sequence their geometrical genome by recording the relative occurrence of all the non…

cond-mat.mtrl-sci2018

Ethanol chemisorption on core-shell Pt-nanoparticles: an ab-initio study

Vagner A. Rigo, Caetano R. Miranda, Francesca Baletto

By means of ab-initio calculations, we have investigated the chemisorption paroperties of ethanol onto segregating binary nanoalloys. We select nanostructures with icosahedral shap…

physics.comp-ph2018

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…

cond-mat.mes-hall2017

Size dependent rearrangements in monometallic clusters

Kevin Rossi, YeeYee Soon, Luca Pavan +1

Morphology and its stability are essential features to address physicochemical properties of metallic nanoparticles. By means of Molecular Dynamics based simulations we show a comp…