Journal article
Multiscale QM/MM modelling of catalytic systems with ChemShell
- Abstract:
- Polycrystalline boron-doped diamond (BDD) is widely used as a working electrode material in electrochemistry, and its properties, such as its stability, make it an appealing support material for nanostructures in electrocatalytic applications. Recent experiments have shown that electrodeposition can lead to the creation of stable small nanoclusters and even single gold adatoms on the BDD surfaces. We investigate the adsorption energy and kinetic stability of single gold atoms adsorbed onto an atomistic model of BDD surfaces by using density functional theory. The surface model is constructed using hybrid quantum mechanics/molecular mechanics embedding techniques and is based on an oxygen-terminated diamond (110) surface. We use the hybrid quantum mechanics/molecular mechanics method to assess the ability of different density functional approximations to predict the adsorption structure, energy, and barrier for diffusion on pristine and defective surfaces. We find that surface defects (vacancies and surface dopants) strongly anchor adatoms on vacancy sites. We further investigated the thermal stability of gold adatoms, which reveals high barriers associated with lateral diffusion away from the vacancy site. The result provides an explanation for the high stability of experimentally imaged single gold adatoms on BDD and a starting point to investigate the early stages of nucleation during metal surface deposition
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.0MB, Terms of use)
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- Publisher copy:
- 10.1039/d3cp00648d
Authors
- Publisher:
- Royal Society of Chemistry
- Journal:
- Physical Chemistry Chemical Physics More from this journal
- Volume:
- 25
- Issue:
- 33
- Pages:
- 21816-21835
- Publication date:
- 2023-08-23
- DOI:
- EISSN:
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1463-9084
- ISSN:
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1463-9076
- Language:
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English
- Keywords:
- Pubs id:
-
2360933
- Local pid:
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pubs:2360933
- Source identifiers:
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W4366548649
- Deposit date:
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2026-01-17
- ARK identifier:
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Terms of use
- Copyright date:
- 2023
- Licence:
- CC Attribution (CC BY)
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