Surface segregation and mixing propensity in noble metal AgAuCuPdPt nanoalloys upon element enrichment – a computational perspective

High-entropy Ag-Au-Cu-Pd-Pt nanoparticles in the 2400-6300-atom size range were computationally studied at thermodynamical equilibrium and room temperature using a combination of well established many-body potentials and Monte Carlo methods. Tools from percolation theory are used to further quantify the deviations to ideal behavior from noninteracting solid solutions. Upon varying the concentration of each element one at a time, the possible surface enrichment in the various metals is determined and the fragment statistics provide insight into the spatial distribution of atoms within the nanoparticles and their tendency for mixing or segregation. The effects of size and dimensionality are addressed separately, by comparing the results obtained for the 0D (nanoparticle) system with those for the 2D (slabs) and 3D (periodic) samples. Although these properties are found to depend on the underlying many-body potential to some extent, some robust trends are predicted, notably for silver and platinum, which strongly segregate and preferentially reside at the surface and in the core of the nanoparticles, respectively.

Authors

Institutions

Publication Details

Journal
Faraday Discussions
Published
2025-06-02
DOI
https://doi.org/10.1039/d5fd00077g
Citations
2
Primary Topic
nanoparticles nucleation surface interactions
Type
article
Field-Weighted Citation Impact
2.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface segregation and mixing propensity in noble metal AgAuCuPdPt nanoalloys upon element enrichment – a computational perspective

F. Calvo
2 citations
Faraday Discussions
nanoparticles nucleation surface interactions
2.60
article

Surface segregation and mixing propensity in noble metal AgAuCuPdPt nanoalloys upon element enrichment – a computational perspective

F. Calvo
article en
2 citations

Abstract

High-entropy Ag-Au-Cu-Pd-Pt nanoparticles in the 2400-6300-atom size range were computationally studied at thermodynamical equilibrium and room temperature using a combination of well established many-body potentials and Monte Carlo methods. Tools from percolation theory are used to further quantify the deviations to ideal behavior from noninteracting solid solutions. Upon varying the concentration of each element one at a time, the possible surface enrichment in the various metals is determined and the fragment statistics provide insight into the spatial distribution of atoms within the nanoparticles and their tendency for mixing or segregation. The effects of size and dimensionality are addressed separately, by comparing the results obtained for the 0D (nanoparticle) system with those for the 2D (slabs) and 3D (periodic) samples. Although these properties are found to depend on the underlying many-body potential to some extent, some robust trends are predicted, notably for silver and platinum, which strongly segregate and preferentially reside at the surface and in the core of the nanoparticles, respectively.

Faraday DiscussionsVol. 264(0)
Centre National de la Recherche Scientifique (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 12%
nanoparticles nucleation surface interactions
2.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Surface segregation and mixing propensity in noble metal AgAuCuPdPt nanoalloys upon element enrichment – a computational perspective — F. Calvo · Faraday Discussions (2025) | TGRS Research Map | TGRS