Thermodynamic Calculations to Determine the Optimal Composition of Oxide Catalysts

Thermodynamic Calculations to Determine the Optimal Composition of Oxide Catalysts

Thermodynamic calculations of the optimal compositions of oxide catalysts with different natures are performed based on the theory of catalysis by polyhedra. The obtained compositions of the active catalysts agree with experimental data. The electrostatic potential generated by polyhedra of metal‐ox...

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Bibliographic Details
Published in:Chemphyschem Vol. 19; no. 12; pp. 1522 - 1530
Main Authors: Gushchin, Pavel A., Lyubimenko, Valentina A., Ivanov, Evgenii V., Kolesnikov, Sergey I., Petrova, Daria A., Vinokurov, Vladimir A., Kolesnikov, Ivan M.
Format: Journal Article
Language:English
Published: Germany Wiley Subscription Services, Inc 19-06-2018
Subjects:
Catalysis
Catalysts
Composition
Dependence
electrostatic potential
Mathematical analysis
Polyhedra
polyhedron
theory of catalysis by polyhedra
thermodynamic calculations
electrostatic potential
theory of catalysis by polyhedra
polyhedron
thermodynamic calculations
catalysts
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Summary:Thermodynamic calculations of the optimal compositions of oxide catalysts with different natures are performed based on the theory of catalysis by polyhedra. The obtained compositions of the active catalysts agree with experimental data. The electrostatic potential generated by polyhedra of metal‐oxide catalysts in a variety of directions is calculated. The dependence of the sign and magnitude of the potential on the distance from the central metal ion towards the vertex of the polyhedron, the middle of its edge or the centre of the face is estimated. It is assumed that the magnitude of the potential can serve as a reference point for determining active centres, which produce adsorption complexes and intermediate compounds. Thermodynamic calculations of the optimal compositions of different oxide catalysts are performed based on the theory of catalysis by polyhedra. The obtained compositions of the active catalysts agree with experimental data.
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ISSN:1439-4235
1439-7641
DOI:10.1002/cphc.201701317