Dual descriptor and molecular electrostatic potential: complementary tools for the study of the coordination chemistry of ambiphilic ligands

Literature Information

Publication Date 2014-06-03
DOI 10.1039/C4CP01613K
Impact Factor 3.676
Authors

Frédéric Guégan, Pierre Mignon, Vincent Tognetti, Laurent Joubert, Christophe Morell


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Abstract

In this paper, we show that the ambiphilic properties of some organic ligands in organometallic complexes may be retrieved readily from simple calculations in the framework of conceptual density functional theory (C-DFT): namely, the dual descriptor (DD) and the molecular electrostatic potential (MEP) of the ligands afford a rather straightforward interpretation of experimental trends such as the bonding geometry and the electronic properties of complexes in terms of σ-, π- and back-bonding. The studied ligands were chosen to be representative of the wide variety organometallic chemistry offers, ranging from neutral to charged systems and from diatomic to polyatomic molecules. The present approach is general since all relevant parameters are retrieved from the electron density, obtained either from a DFT or post-Hartree–Fock calculation. It is believed to be helpful for organometallic chemists, since it allows a deep understanding and may be used as a predictive tool of the coordinating properties of ligands.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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