Literature DB >> 29435548

Coordination numbers for unraveling intrinsic size effects in gold-catalyzed CO oxidation.

Siwen Wang1, Noushin Omidvar, Emily Marx, Hongliang Xin.   

Abstract

Geometry-based reactivity descriptors, e.g., regular, generalized, and orbitalwise coordination numbers, were used for unraveling intrinsic size effects of Au nanocatalysts towards CO oxidation. For an ensemble of Au nanoparticles with varying sizes and shapes, s-orbital coordination numbers (CNs) linearly correlate with *CO and *O adsorption energies at the on-top and hollow sites, respectively, outperforming their regular (CN) and generalized (C[combining macron]N[combining macron]) counterparts attributed to an explicit consideration of interatomic interactions. To take into account the geometric strain of surface atoms, the embedded-atom method (EAM) potential trained with ab initio energies of the bulk, nanoclusters, and extended surfaces at the GGA-PBE level was used for optimizing the Wulff-shaped, free-standing Au nanoparticles up to 7.2 nm. Microkinetic analysis of CO oxidation on extended {111}, {100}, {211}, and {532} surfaces, along with a facile and accurate prediction of *CO and *O adsorption energies at nanoparticles using the herein developed structure-reactivity relationships, captures experimentally measured activity trends of supported Au nanoparticles of varying sizes on a wide variety of metal oxides and illustrates the importance of under-coordinated atoms and insensitivity of surface strains in Au-catalyzed CO oxidation.

Entities:  

Year:  2018        PMID: 29435548     DOI: 10.1039/c8cp00102b

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  2 in total

1.  Tuning the metal-support interaction in the thermal-resistant Au-CeO2 catalysts for CO oxidation: influence of a mild N2 pretreatment.

Authors:  Yuqi Sun; Wei Liu; Miao Tian; Liguo Wang; Zhongpeng Wang
Journal:  RSC Adv       Date:  2018-11-23       Impact factor: 3.361

2.  Shape-dependent structural and magnetic properties of Fe nanoparticles studied through simulation methods.

Authors:  Rida Essajai; Younes Benhouria; Abdeljalil Rachadi; Mbarek Qjani; Ahmed Mzerd; Najem Hassanain
Journal:  RSC Adv       Date:  2019-07-16       Impact factor: 4.036

  2 in total

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