Literature DB >> 27088666

Theoretical Heterogeneous Catalysis: Scaling Relationships and Computational Catalyst Design.

Jeffrey Greeley1.   

Abstract

Scaling relationships are theoretical constructs that relate the binding energies of a wide variety of catalytic intermediates across a range of catalyst surfaces. Such relationships are ultimately derived from bond order conservation principles that were first introduced several decades ago. Through the growing power of computational surface science and catalysis, these concepts and their applications have recently begun to have a major impact in studies of catalytic reactivity and heterogeneous catalyst design. In this review, the detailed theory behind scaling relationships is discussed, and the existence of these relationships for catalytic materials ranging from pure metal to oxide surfaces, for numerous classes of molecules, and for a variety of catalytic surface structures is described. The use of the relationships to understand and elucidate reactivity trends across wide classes of catalytic surfaces and, in some cases, to predict optimal catalysts for certain chemical reactions, is explored. Finally, the observation that, in spite of the tremendous power of scaling relationships, their very existence places limits on the maximum rates that may be obtained for the catalyst classes in question is discussed, and promising strategies are explored to overcome these limitations to usher in a new era of theory-driven catalyst design.

Entities:  

Keywords:  catalyst design; density functional theory; descriptors; heterogeneous catalysis; scaling relationships; volcano plots

Mesh:

Substances:

Year:  2016        PMID: 27088666     DOI: 10.1146/annurev-chembioeng-080615-034413

Source DB:  PubMed          Journal:  Annu Rev Chem Biomol Eng        ISSN: 1947-5438            Impact factor:   11.059


  16 in total

1.  Computational Approach to Molecular Catalysis by 3d Transition Metals: Challenges and Opportunities.

Authors:  Konstantinos D Vogiatzis; Mikhail V Polynski; Justin K Kirkland; Jacob Townsend; Ali Hashemi; Chong Liu; Evgeny A Pidko
Journal:  Chem Rev       Date:  2018-10-30       Impact factor: 60.622

2.  Properties of real metallic surfaces: Effects of density functional semilocality and van der Waals nonlocality.

Authors:  Abhirup Patra; Jefferson E Bates; Jianwei Sun; John P Perdew
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-17       Impact factor: 11.205

Review 3.  Implicit Solvation Methods for Catalysis at Electrified Interfaces.

Authors:  Stefan Ringe; Nicolas G Hörmann; Harald Oberhofer; Karsten Reuter
Journal:  Chem Rev       Date:  2021-12-20       Impact factor: 72.087

4.  Catalytic resonance theory: parallel reaction pathway control.

Authors:  M Alexander Ardagh; Manish Shetty; Anatoliy Kuznetsov; Qi Zhang; Phillip Christopher; Dionisios G Vlachos; Omar A Abdelrahman; Paul J Dauenhauer
Journal:  Chem Sci       Date:  2020-03-03       Impact factor: 9.825

5.  DFT Study on Intermetallic Pd-Cu Alloy with Cover Layer Pd as Efficient Catalyst for Oxygen Reduction Reaction.

Authors:  Ji Liu; Xiaofeng Fan; Chang Q Sun; Weiguang Zhu
Journal:  Materials (Basel)       Date:  2017-12-26       Impact factor: 3.623

6.  Scaling Relations for Acidity and Reactivity of Zeolites.

Authors:  Chong Liu; Ionut Tranca; Rutger A van Santen; Emiel J M Hensen; Evgeny A Pidko
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2017-10-06       Impact factor: 4.126

7.  Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence.

Authors:  Zhong-Kang Han; Debalaya Sarker; Runhai Ouyang; Aliaksei Mazheika; Yi Gao; Sergey V Levchenko
Journal:  Nat Commun       Date:  2021-03-23       Impact factor: 14.919

8.  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

9.  Efficient Machine-Learning-Aided Screening of Hydrogen Adsorption on Bimetallic Nanoclusters.

Authors:  Marc O J Jäger; Yashasvi S Ranawat; Filippo Federici Canova; Eiaki V Morooka; Adam S Foster
Journal:  ACS Comb Sci       Date:  2020-11-04       Impact factor: 3.784

Review 10.  Functional and Material Properties in Nanocatalyst Design: A Data Handling and Sharing Problem.

Authors:  Daniel Lach; Uladzislau Zhdan; Adam Smolinski; Jaroslaw Polanski
Journal:  Int J Mol Sci       Date:  2021-05-13       Impact factor: 5.923

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