Literature DB >> 29796544

The challenge of catalyst prediction.

Rutger A van Santen1, Aditya Sengar, Erik Steur.   

Abstract

New insights and successful use of computational catalysis are highlighted. This is within the context of remaining issues that prevent theoretical catalysis to be fully predictive of catalyst performance. A major challenge is to include in modelling studies the transient initiation as well as deactivation processes of the catalyst. We will illustrate this using as an example for solid acid catalysis, the alkylation process, and for transition metal catalysis, the Fischer-Tropsch reaction. For the alkylation reaction of isobutane and alkene, an important reaction for high octane gasoline, we will present a deactivation model. For the Fischer-Tropsch reaction, which converts synthesis gas into gasoline grade molecules, we discuss structural reorganization of the catalyst induced by reaction.

Entities:  

Year:  2018        PMID: 29796544     DOI: 10.1039/c7fd00208d

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  3 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.  Deactivation Kinetics of Solid Acid Catalyst with Laterally Interacting Protons.

Authors:  Aditya Sengar; Rutger A van Santen; Erik Steur; Johannes A M Kuipers; Johan Padding
Journal:  ACS Catal       Date:  2018-08-16       Impact factor: 13.084

3.  Operando Modeling of Multicomponent Reactive Solutions in Homogeneous Catalysis: from Non-standard Free Energies to Reaction Network Control.

Authors:  Pavel O Kuliaev; Evgeny A Pidko
Journal:  ChemCatChem       Date:  2019-12-11       Impact factor: 5.686

  3 in total

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