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The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
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Related Experiment Video

Updated: Nov 29, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Microkinetic Modeling: A Tool for Rational Catalyst Design.

Ali Hussain Motagamwala1, James A Dumesic1

  • 1Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, Wisconsin 53706, United States.

Chemical Reviews
|November 18, 2020
PubMed
Summary
This summary is machine-generated.

Microkinetic modeling aids heterogeneous catalyst design by identifying key reaction steps and intermediates. This approach streamlines catalyst development for improved performance and efficiency.

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Area of Science:

  • Chemical Engineering
  • Surface Science
  • Computational Chemistry

Background:

  • Heterogeneous catalyst design requires understanding surface kinetics.
  • Microkinetic modeling is a powerful tool for this understanding.

Purpose of the Study:

  • To review procedures for developing microkinetic models.
  • To discuss methods for ensuring thermodynamic consistency and parameter adjustment.
  • To explore the application of microkinetic modeling in various catalytic systems.

Main Methods:

  • Summarizing procedures for microkinetic model development.
  • Utilizing experimental, theoretical, and quantum chemical data.
  • Analyzing models using degree of rate control and reversibility.
  • Incorporating Brønsted-Evans-Polanyi and scaling relations.

Main Results:

  • Identification of critical reaction intermediates and rate-determining steps.
  • Methods for accounting for catalyst heterogeneity and parameter errors.
  • Analysis of reaction schemes and kinetically significant species.
  • Prediction of optimal binding energies and potential rate improvements.

Conclusions:

  • Microkinetic modeling is vital for streamlining catalyst design.
  • The review highlights challenges and opportunities in its application.
  • Applications extend to homogeneous, electro-, and transient catalysis.