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Computational Ligand Descriptors for Catalyst Design.

Derek J Durand1, Natalie Fey1

  • 1School of Chemistry , University of Bristol , Cantock's Close , Bristol BS8 1TS , U.K.

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|February 26, 2019
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Summary
This summary is machine-generated.

This review surveys calculated ligand descriptors for homogeneous organometallic catalysis. These descriptors help fine-tune catalyst performance and guide the discovery and design of new catalysts.

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Area of Science:

  • Organometallic Chemistry
  • Catalysis Science

Background:

  • Ligands, such as phosphines and carbenes, are crucial for modifying homogeneous organometallic catalysts.
  • Fine-tuning catalyst performance (yields, rates, selectivity) is essential for efficient chemical synthesis.

Purpose of the Study:

  • To survey calculated ligand descriptors for homogeneous organometallic catalysis.
  • To provide a resource for understanding the relationship between ligand properties and catalyst performance.
  • To guide the discovery, optimization, and design of catalysts through descriptor-led approaches.

Main Methods:

  • Review and comparison of various approaches for calculating steric and electronic ligand parameters.
  • Compilation of descriptors for representative ligand sets: monodentate phosphorus(III) donors, bidentate P,P-donors, and carbenes.
  • Review of case studies illustrating the application of ligand descriptors in catalysis.

Main Results:

  • A comprehensive survey of calculated ligand descriptors is presented.
  • Different methods for quantifying steric and electronic properties are compared.
  • A curated dataset of descriptors for common ligand types is provided.

Conclusions:

  • Ligand descriptors offer a valuable tool for understanding and optimizing homogeneous organometallic catalysis.
  • Descriptor-led studies can effectively inform experimental design and catalyst development.
  • Best practices for model comparison and evaluation are highlighted to maximize the utility of descriptors.