Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene

Catalytic systems based on sub-nanoclusters deposited over different supports are promising for very relevant chemical transformations such as many electrocatalytic processes as the ORR. These systems have been demonstrated to be very fluxional, as they are able to change shape and interconvert betw...

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Main Authors: Daniel Barrena-Espés, Sergio Boneta, Victor Polo, Julen Munárriz
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/1/870
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author Daniel Barrena-Espés
Sergio Boneta
Victor Polo
Julen Munárriz
author_facet Daniel Barrena-Espés
Sergio Boneta
Victor Polo
Julen Munárriz
author_sort Daniel Barrena-Espés
collection DOAJ
description Catalytic systems based on sub-nanoclusters deposited over different supports are promising for very relevant chemical transformations such as many electrocatalytic processes as the ORR. These systems have been demonstrated to be very fluxional, as they are able to change shape and interconvert between each other either alone or in the presence of adsorbates. In addition, an accurate representation of their catalytic activity requires the consideration of ensemble effects and not a single structure alone. In this sense, a reliable theoretical methodology should assure an accurate and extensive exploration of the potential energy surface to include all the relevant structures and with correct relative energies. In this context, we applied DFT in conjunction with global optimization techniques to obtain and analyze the characteristics of the many local minima of Pt<sub>6</sub> sub-nanoclusters over a carbon-based support (graphene)—a system with electrocatalytic relevance. We also analyzed the magnetism and the charge transfer between the clusters and the support and paid special attention to the dependence of dispersion effects on the ensemble characteristics. We found that the ensembles computed with and without dispersion corrections are qualitatively similar, especially for the lowest-in-energy clusters, which we attribute to a (mainly) covalent binding to the surface. However, there are some significant variations in the relative stability of some clusters, which would significantly affect their population in the ensemble composition.
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spelling doaj.art-bee5cb1ca75f4423a61357b06fd3c3282023-11-16T15:39:38ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-01-0124187010.3390/ijms24010870Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over GrapheneDaniel Barrena-Espés0Sergio Boneta1Victor Polo2Julen Munárriz3Departamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, SpainDepartamento de Bioquímica y Biología Molecular y Celular, Facultad de Ciencias, Universidad de Zaragoza, 50009 Zaragoza, SpainInstituto de Biocomputación y Física de Sistemas Complejos (BIFI), Universidad de Zaragoza, 50009 Zaragoza, SpainDepartamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, SpainCatalytic systems based on sub-nanoclusters deposited over different supports are promising for very relevant chemical transformations such as many electrocatalytic processes as the ORR. These systems have been demonstrated to be very fluxional, as they are able to change shape and interconvert between each other either alone or in the presence of adsorbates. In addition, an accurate representation of their catalytic activity requires the consideration of ensemble effects and not a single structure alone. In this sense, a reliable theoretical methodology should assure an accurate and extensive exploration of the potential energy surface to include all the relevant structures and with correct relative energies. In this context, we applied DFT in conjunction with global optimization techniques to obtain and analyze the characteristics of the many local minima of Pt<sub>6</sub> sub-nanoclusters over a carbon-based support (graphene)—a system with electrocatalytic relevance. We also analyzed the magnetism and the charge transfer between the clusters and the support and paid special attention to the dependence of dispersion effects on the ensemble characteristics. We found that the ensembles computed with and without dispersion corrections are qualitatively similar, especially for the lowest-in-energy clusters, which we attribute to a (mainly) covalent binding to the surface. However, there are some significant variations in the relative stability of some clusters, which would significantly affect their population in the ensemble composition.https://www.mdpi.com/1422-0067/24/1/870sub-nano clustersglobal optimizationcatalysisDFTdispersion interactionsensemble effects
spellingShingle Daniel Barrena-Espés
Sergio Boneta
Victor Polo
Julen Munárriz
Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene
International Journal of Molecular Sciences
sub-nano clusters
global optimization
catalysis
DFT
dispersion interactions
ensemble effects
title Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene
title_full Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene
title_fullStr Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene
title_full_unstemmed Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene
title_short Exploring the Potential Energy Surface of Pt<sub>6</sub> Sub-Nano Clusters Deposited over Graphene
title_sort exploring the potential energy surface of pt sub 6 sub sub nano clusters deposited over graphene
topic sub-nano clusters
global optimization
catalysis
DFT
dispersion interactions
ensemble effects
url https://www.mdpi.com/1422-0067/24/1/870
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AT victorpolo exploringthepotentialenergysurfaceofptsub6subsubnanoclustersdepositedovergraphene
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