Literature DB >> 30444606

Searching for Hidden Descriptors in the Metal-Ligand Bond through Statistical Analysis of Density Functional Theory (DFT) Results.

Oier Lakuntza1, Maria Besora1, Feliu Maseras1,2.   

Abstract

A statistical treatment of the DFT-computed heterolytic bond dissociation energies (BDE) between a diverse variety of metal fragments and ligands leads to the identification of five hidden descriptors that best characterize the bonding ability per moiety, and of a simple mathematical formula able to obtain from these hidden descriptors a BDE estimation within a few kcal/mol from the DFT value. A simple extension of this treatment beyond the original set of metal fragments and ligands is also presented. The first two hidden descriptors can be associated with the well-known concepts of σ-donation and π-effects, with the next two associated with cis influence and degree of covalency. The procedure can be easily extended to additional ligands and metal fragments, and it opens the way to an improved understanding of fundamental concepts of chemical bonding.

Entities:  

Year:  2018        PMID: 30444606     DOI: 10.1021/acs.inorgchem.8b02372

Source DB:  PubMed          Journal:  Inorg Chem        ISSN: 0020-1669            Impact factor:   5.165


  2 in total

1.  Iterative Supervised Principal Component Analysis Driven Ligand Design for Regioselective Ti-Catalyzed Pyrrole Synthesis.

Authors:  Xin Yi See; Xuelan Wen; T Alexander Wheeler; Channing K Klein; Jason D Goodpaster; Benjamin R Reiner; Ian A Tonks
Journal:  ACS Catal       Date:  2020-11-05       Impact factor: 13.084

2.  tmQM Dataset-Quantum Geometries and Properties of 86k Transition Metal Complexes.

Authors:  David Balcells; Bastian Bjerkem Skjelstad
Journal:  J Chem Inf Model       Date:  2020-11-09       Impact factor: 4.956

  2 in total

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