三聚氰胺在铂(111)上吸附的神经网络电位计算与密度泛函理论的比较

IF 1.4 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Chemistry Letters Pub Date : 2024-09-02 DOI:10.1093/chemle/upae173
Kohei Tada
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引用次数: 0

摘要

对铂吸附三聚氰胺的研究对于阐明分子装饰对提高燃料电池催化性能的影响非常重要,这是一个表面与分子之间的共价稳定与配位的共振失稳相互竞争的有趣体系。本研究讨论了图神经网络电位是否能预测具有竞争性的吸附结构。首选电位预测的最稳定结构与密度泛函理论预测的结构一致,但低估了共振失稳。
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Neural Network Potential Calculations for Melamine Adsorption onto Pt (111) Comparing with Density Functional Theory
The investigation on Pt-adsorbed melamine is important in elucidating the effect of molecular decoration on enhancement of catalytic performance for fuel cells, and is an interesting system where covalent stabilisation between the surface and molecule competes with resonance destabilisation by the coordination. The present work discussed whether graph neural network potentials can predict the adsorption structure with the competition. The most stable structure predicted by preferred potential was consistent with that by density functional theory but underestimated resonance destabilisation.
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来源期刊
Chemistry Letters
Chemistry Letters 化学-化学综合
CiteScore
3.00
自引率
6.20%
发文量
260
审稿时长
1.2 months
期刊介绍: Chemistry Letters covers the following topics: -Organic Chemistry- Physical Chemistry- Inorganic Chemistry- Analytical Chemistry- Materials Chemistry- Polymer Chemistry- Supramolecular Chemistry- Organometallic Chemistry- Coordination Chemistry- Biomolecular Chemistry- Natural Products and Medicinal Chemistry- Electrochemistry
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