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Data · dataset · 2026

Data and code supporting the paper "Competing adsorption of H and CO on Pd-alloy surfaces: Mechanistic insight into the mitigating effect of Cu on CO poisoning"

Listed in Researchdata.se

This record contains machine-learned interatomic potential (MLIP) and cluster expansion (CE) models for the AuCuPd:CO,H system along with reference data from density functional theory (DFT) calculations.

Description

Technical details are provided in Pernilla Ekborg-Tanner and Paul ErhartCompeting adsorption of H and CO on Pd-alloy surfaces: Mechanistic insight into the mitigating effect of Cu on CO poisoning Acta Materialia 316, 122507 (2026) doi: 10.1016/j.actamat.2026.122507 MLIP models Models based on the neuroevolution potential (NEP) architecture are provided in the nep-*.txt files.

The "full" model has been trained against all available data whereas the "split" models have been trained against a random selection of 90% structures from the available structures. Models based on the MACE architecture are provided in the MACE-*.model files. CE models Models are provided for (111), (110), and (100) surfaces in the *.ce files along with reference structures in the *.xyz files Reference data Reference data from DFT calculations is provided in the reference-structures.db file, which is a sqlite database generated using the ase package.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Density functional theory 75%
Provenance · 1 source records, 8 field assertions
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Researchdata.seoai:researchdata.se:doi-10-5281-zenodo-17670909/012 d agoJSON v1
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concepts[method].local:method:dftenrichment · researchdata sekeyword-concept-rules@1.0.0title+description (75%)
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