Theoretical Studies on the Adsorption and Degradation of Carbon-Supported Pt- and Pt-Oxide Nanoparticle Electrocatalysts

12 May 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The performance of electrocatalysts in fuel cells is not only determined by their efficiency under reaction conditions, but additionally by their stability and potential degradation processes. To investigate these factors, molecular dynamics simulation were performed in order to study the adsorption and detachment behavior of 2–3 nm-sized Pt nanoparticles (NPs) on defective graphite supports with up to 13-atom large vacancies. Larger NPs show stronger adsorption with increasing vacancy size, particularly for surface-oxidized NPs (Pt/O ratio 1:1), due to additional van der Waals interactions alongside covalent Pt–C bonds at defect sites. Detachment simulations revealed that larger vacancy defects significantly increase the energy barrier for detachment, especially for non-oxidized 2nm NPs, as more Pt atoms remain at the defect after detachment. Surface oxidation reduces detachment barriers by over 50 %, while larger NPs generally show lower barriers. In aqueous environments, detachment barriers for non-oxidized NPs decrease, particularly with larger defects. These findings highlight the critical role of defect size and NP surface oxidation in stabilizing Pt-NPs on carbon supports, reducing material loss and preserving catalytically active material. Non-oxidized 2nm NPs on large defects emerge as promising candidates for stable catalytic applications in both vacuum and aqueous environments, making defect and/or vacancy engineering a promising approach.

Keywords

Platinum Nanoparticles
Graphite Vacancy Defects
Degradation
Detachment
Fuel Cell
Atomistic Modelling
Molecular Dynamics

Supplementary materials

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Title
Supporting Information: Theoretical Studies on the Adsorption and Degradation of Carbon-Supported Pt- and Pt-Oxide Nanoparticle Electrocatalysts
Description
Supporting information includes additional computational details and supplementary figures.
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