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Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)

COVER PICTURE: Lando P. Wolters and F. Matthias Bickelhaupt* The cover picture illustrates the authors' quantum chemical finding that π electrons can significantly bend otherwise linear d(10)-ML(2) complexes through backbonding. The foreground features a typical series of linear and nonlinear c...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: WILEY-VCH Verlag 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703806/
http://dx.doi.org/10.1002/open.201390010
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description COVER PICTURE: Lando P. Wolters and F. Matthias Bickelhaupt* The cover picture illustrates the authors' quantum chemical finding that π electrons can significantly bend otherwise linear d(10)-ML(2) complexes through backbonding. The foreground features a typical series of linear and nonlinear computed equilibrium geometries, while, in the background, one discerns quantitative numerical output of the bonding and energy decomposition analyses (EDA). The interpretation of the numerical data in terms of Kohn–Sham molecular orbital (MO) theory constitutes a predictive bonding model that explains the effects. The essence of this model has been sketched on paper during a brainstorming session (see the blue, hand-drawn orbital diagrams). It reveals that the second π-accepting ligand is, in a sense, hunting for “fresh” (not yet stabilized) d(π) electrons. The insights obtained in this work are relevant not only for structural coordination chemistry but are envisaged to lead to applications in rational catalyst design. For more details, see the Full Paper by F. Matthias Bickelhaupt et al., on p. 106 ff.
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spelling pubmed-37038062014-02-18 Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013) ChemistryOpen Cover Picture COVER PICTURE: Lando P. Wolters and F. Matthias Bickelhaupt* The cover picture illustrates the authors' quantum chemical finding that π electrons can significantly bend otherwise linear d(10)-ML(2) complexes through backbonding. The foreground features a typical series of linear and nonlinear computed equilibrium geometries, while, in the background, one discerns quantitative numerical output of the bonding and energy decomposition analyses (EDA). The interpretation of the numerical data in terms of Kohn–Sham molecular orbital (MO) theory constitutes a predictive bonding model that explains the effects. The essence of this model has been sketched on paper during a brainstorming session (see the blue, hand-drawn orbital diagrams). It reveals that the second π-accepting ligand is, in a sense, hunting for “fresh” (not yet stabilized) d(π) electrons. The insights obtained in this work are relevant not only for structural coordination chemistry but are envisaged to lead to applications in rational catalyst design. For more details, see the Full Paper by F. Matthias Bickelhaupt et al., on p. 106 ff. WILEY-VCH Verlag 2013-06 2013-06-20 /pmc/articles/PMC3703806/ http://dx.doi.org/10.1002/open.201390010 Text en Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Cover Picture
Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)
title Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)
title_full Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)
title_fullStr Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)
title_full_unstemmed Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)
title_short Cover Picture: Nonlinear d(10)-ML(2) Transition-Metal Complexes (ChemistryOpen 3/2013)
title_sort cover picture: nonlinear d(10)-ml(2) transition-metal complexes (chemistryopen 3/2013)
topic Cover Picture
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703806/
http://dx.doi.org/10.1002/open.201390010