Suppr超能文献

Pt as a promising ethanol catalyst: a first principles study.

作者信息

Rigo Vagner Alexandre, Baletto Francesca

机构信息

Department of Natural Sciences, Universidade Tecnológica Federal do Paraná (UTFPR), Cornélio Procópio, 86300-000, Brazil.

Physics Department, University of Milan, Via Celoria 16, 20133, Italy.

出版信息

Phys Chem Chem Phys. 2023 Feb 8;25(6):4649-4655. doi: 10.1039/d2cp04323h.

Abstract

This first-principles study predicts Pt nanoparticles as a catalyst for ethanol reactions. Starting from the adsorption properties, we shed light on the effectiveness of Pt-based nanoclusters as ethanol catalysts. First, the ethanol adsorption on Pt shows that the most stable site positions the molecule with the oxygen anchored on top of an edge, whereas CH is oriented towards the facet and the molecule remains in -symmetry. The ethanol-oxygen adsorbed on top of a facet Pt-atom offers the least stable configuration and the longer Pt-O distance (2.318 Å), while the shorter Pt-O distance (2.237 Å) is found when ethanol is on top of an edge site and the molecule is vertically oriented with Gauche symmetry. A shorter Pt-O distance correlates with higher radial breathing of the nanoparticle after ethanol adsorption. Atomic charge redistribution is calculated on all the considered systems and cases. In any event, we show that the Pt-anchor receives a charge, whilst oxygen-ethanol donates electrons. Orbital analysis shows that Pt-anchors and ethanol-oxygen atoms primarily exchange p-charge. Energy barriers associated with the ethanol bond cleavage show that the C-C bond break is slightly more favourable on Pt than on an extended Pt(111). In addition, we find that the cleavage of the hydroxyl O-H ethanol bond shows a higher energy barrier while the removal of an H-atom from the CH group is easier. These three facts indicate that the Pt nanoparticle enhances ethanol catalysis and hence is a good candidate for ethanol-based fuel cells.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验