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Cited by 347

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Kinetic-Quantum Chemical Model for Catalytic Cycles: The Haber−Bosch Process and the Effect of Reagent Concentration

Kozuch, Sebastian, Shaik, Sason·2008·The Journal of Physical Chemistry A

Abstract

A combined kinetic-quantum chemical model is developed with the goal of estimating in a straightforward way the turnover frequency (TOF) of catalytic cycles, based on the state energies obtained by quantum chemical calculations. We describe how the apparent activation energy of the whole cycle, so-called energetic span (delta E), is influenced by the energy levels of two species: the TOF determining transition state (TDTS) and the TOF determining intermediate (TDI). Because these key species need not be adjoining states, we conclude that for catalysis there are no rate-determining steps, only rate determining states. In addition, we add here the influence of reactants concentrations. And, finally, the model is applied to the Haber-Bosch process of ammonia synthesis, for which we show how to calculate which catalyst will be the most effective under specific reagents conditions.

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Crossref · 10.1021/jp8004772

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Metadata

Authors
Kozuch, S., & Shaik, S.
Venue
The Journal of Physical Chemistry A
Published
2008-06-07
Volume
112
Issue
26
Pages
6032-6041
ISSN
  • 1089-5639 (ISSN-L)
  • 1520-5215
OpenAlex
W2010847418
Cited by
347
References
1
FWCI
3.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Kinetic-Quantum Chemical Model for Catalytic Cycles: The Haber−Bosch Process and the Effect of Reagent Concentration. https://app.cochat.ai/papers/10.1021/jp8004772
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Kozuch, S., & Shaik, S. (2008). Kinetic-Quantum Chemical Model for Catalytic Cycles: The Haber−Bosch Process and the Effect of Reagent Concentration. The Journal of Physical Chemistry A. https://doi.org/10.1021/jp8004772

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.