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Data · dataset · 2013

Global Optimization of 8–10 Atom Palladium–Iridium Nanoalloys at the DFT Level

Listed in UBIRA eData

The global optimization of PdnIr(N–n) N = 8–10 clusters has been performed using the Birmingham Cluster Genetic Algorithm (BCGA).

Description

Structures were evaluated directly using density functional theory (DFT), which has allowed the identification of Ir and Ir-rich PdIr cubic global minima, displaying a strong tendency to segregate. The ability of the searches to find the putative global minimum has been assessed using a homotop search method, which shows a high degree of success.

The role of spin in the system has been considered through a series of spin-restricted reoptimizations of BCGA-DFT minima. The preferred spin of the clusters is found to vary widely with composition, showing no overall trend in lowest-energy multiplicities.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Density functional theory 75%
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
UBIRA eDataoai:edata.bham.ac.uk:2149 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
concepts[method].local:method:dftenrichment · edata bham ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/description
license_textsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
publication_datesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
titlesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/title