Literature DB >> 29490204

Computational Design of Clusters for Catalysis.

Elisa Jimenez-Izal1,2, Anastassia N Alexandrova1,3.   

Abstract

When small clusters are studied in chemical physics or physical chemistry, one perhaps thinks of the fundamental aspects of cluster electronic structure, or precision spectroscopy in ultracold molecular beams. However, small clusters are also of interest in catalysis, where the cold ground state or an isolated cluster may not even be the right starting point. Instead, the big question is: What happens to cluster-based catalysts under real conditions of catalysis, such as high temperature and coverage with reagents? Myriads of metastable cluster states become accessible, the entire system is dynamic, and catalysis may be driven by rare sites present only under those conditions. Activity, selectivity, and stability are highly dependent on size, composition, shape, support, and environment. To probe and master cluster catalysis, sophisticated tools are being developed for precision synthesis, operando measurements, and multiscale modeling. This review intends to tell the messy story of clusters in catalysis.

Entities:  

Keywords:  DFT; catalysis; fluxionality; nanoclusters; platinum; realistic modeling

Year:  2018        PMID: 29490204     DOI: 10.1146/annurev-physchem-050317-014216

Source DB:  PubMed          Journal:  Annu Rev Phys Chem        ISSN: 0066-426X            Impact factor:   12.703


  3 in total

1.  Atomic-scale engineering of indium oxide promotion by palladium for methanol production via CO2 hydrogenation.

Authors:  Matthias S Frei; Cecilia Mondelli; Rodrigo García-Muelas; Klara S Kley; Begoña Puértolas; Núria López; Olga V Safonova; Joseph A Stewart; Daniel Curulla Ferré; Javier Pérez-Ramírez
Journal:  Nat Commun       Date:  2019-07-29       Impact factor: 14.919

2.  CO organization at ambient pressure on stepped Pt surfaces: first principles modeling accelerated by neural networks.

Authors:  Vaidish Sumaria; Philippe Sautet
Journal:  Chem Sci       Date:  2021-11-15       Impact factor: 9.825

3.  Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis.

Authors:  Miguel Steiner; Markus Reiher
Journal:  Top Catal       Date:  2022-01-13       Impact factor: 2.910

  3 in total

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