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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An ab initio investigation of the adsorption properties of water on binary AlSi clusters

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Author(s):
Gomes, Alexandre C. R. [1] ; de Souza, Tiago M. [1] ; Da Silva, Juarez L. F. [2] ; Galvao, Breno R. L. [1]
Total Authors: 4
Affiliation:
[1] CEFET MG, Ctr Fed Educ Tecnol Minas Gerais, Dept Quim, Av Amazonas 5253, BR-30421169 Belo Horizonte, MG - Brazil
[2] Univ Sao Paulo, Sao Carlos Inst Chem, POB 780, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Physical Chemistry Chemical Physics; v. 22, n. 42, p. 24669-24676, NOV 14 2020.
Web of Science Citations: 0
Abstract

The potential of doped aluminium clusters as catalysts for the water splitting reaction has attracted considerable scientific effort, however, the water-cluster interactions, which are a key step in the overall mechanism, are not fully understood. Here, we report an ab initio investigation of water adsorption on AlSi clusters at the MP2 level to elucidate the bonding and structural properties employing unary and binary 8- and 13-atom clusters, namely, Si-8, Al2Si6, Al4Si4, Al-8, Si-13, Al2Si11, Al12Si, and Al-13, which were selected by their relevance and energetic stability. We found that H2O binds via the O atom near to the on-top sites of the Si or Al atoms; in particular, there is a strong preference for the Al sites on the binary AlSi clusters, which is supported by the strong adsorption energy. Furthermore, we found a large enhancement of the adsorption energy on the Al2Si6 and Al2Si11 clusters, which can be explained by the cationic character of the Al site, which increases the Coulomb contribution to the Al+-O- interaction. (AU)

FAPESP's process: 18/21401-7 - Multi-User Equipment approved in grant 2017/11631-2: cluster computational de alto desempenho - ENIAC
Grantee:Juarez Lopes Ferreira da Silva
Support Opportunities: Multi-user Equipment Program
FAPESP's process: 17/11631-2 - CINE: computational materials design based on atomistic simulations, meso-scale, multi-physics, and artificial intelligence for energy applications
Grantee:Juarez Lopes Ferreira da Silva
Support Opportunities: Research Grants - Research Centers in Engineering Program