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Computational catalyst screening: Scaling, bond-order and catalysis

Paper ID Volume ID Publish Year Pages File Format Full-Text
53446 46970 2016 8 PDF Available
Title
Computational catalyst screening: Scaling, bond-order and catalysis
Abstract

•The need for simplification schemes when screening for new catalysts in computational chemistry.•Scaling relations between adsorption energies and transition state energies and simple reaction energies.•Scaling as a way to easily map between energy space and rate space.•More complex chemistry and how to modify scaling to accommodate this complexity.

The design of new and better heterogeneous catalysts needed to accommodate the growing demand for energy from renewable sources is an important challenge for coming generations. Most surface catalyzed processes involve a large number of complex reaction networks and the energetics ultimately defines the turn-over-frequency and the selectivity of the process. In order not to get lost in the large quantities of data, simplification schemes that still contain the key elements of the reaction are required. Adsorption and transition state scaling relations constitutes such a scheme that not only maps the reaction relevant information in terms of few parameters but also provides an efficient way of screening for new materials in a continuous multi-dimensional energy space. As with all relations they impose certain restrictions on what can be achieved and in this paper, I show why these limitations exist and how we can change the behavior through an energy-resolved approach that still maintains the screening capabilities needed in computational catalysis.

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Keywords
DFT; Scaling relations; Volcano plots
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Computational catalyst screening: Scaling, bond-order and catalysis
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Publisher
Database: Elsevier - ScienceDirect
Journal: Catalysis Today - Volume 272, 1 September 2016, Pages 6–13
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us