The Independent Gradient Model

A New Approach for Probing Strong and Weak Interactions in Molecules from Wave Function Calculations

J. E. Contreras, Edén Rodriguez, Jaime Taha-Tijerina

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

12 Citations (Scopus)

Abstract

Extraction of the chemical interaction signature from local descriptors based on electron density (ED) is still a fruitful field of development in chemical interpretation. In a previous work that used promolecular ED (frozen ED), the new descriptor, δg, was defined. It represents the difference between a virtual upper limit of the ED gradient (|∇ρ IGM|, IGM = independent gradient model) that represents a noninteracting system and the true ED gradient (|∇ρ|). It can be seen as a measure of electron sharing brought by ED contragradience. A compelling feature of this model is to provide an automatic workflow that extracts the signature of interactions between selected groups of atoms. As with the noncovalent interaction (NCI) approach, it provides chemists with a visual understanding of the interactions present in chemical systems. |∇ρ IGM| is achieved simply by using absolute values upon summing the individual gradient contributions that make up the total ED gradient. Hereby, we extend this model to relaxed ED calculated from a wave function. To this end, we formulated gradient-based partitioning (GBP) to assess the contribution of each orbital to the total ED gradient. We highlight these new possibilities across two prototypical examples of organic chemistry: the unconventional hexamethylbenzene dication, with a hexa-coordinated carbon atom, and β-thioaminoacrolein. It will be shown how a bond-by-bond picture can be obtained from a wave function, which opens the way to monitor specific interactions along reaction paths.

Original languageEnglish
Title of host publicationHandbook of Nanomaterials for Industrial Applications
Place of PublicationNetherlands
PublisherElsevier
Chapter39
Pages724-735
Number of pages12
Volume19
Edition6
ISBN (Print)978-0-12-813351-4
DOIs
Publication statusPublished - 19 Mar 2018

Publication series

NameChemPhysChem
PublisherWiley-VCH Verlag
ISSN (Print)1439-4235

Fingerprint

Wave functions
Carrier concentration
Molecules
Atoms
Carbon
Electrons

All Science Journal Classification (ASJC) codes

  • Materials Science (miscellaneous)

Cite this

Contreras, J. E., Rodriguez, E., & Taha-Tijerina, J. (2018). The Independent Gradient Model: A New Approach for Probing Strong and Weak Interactions in Molecules from Wave Function Calculations. In Handbook of Nanomaterials for Industrial Applications (6 ed., Vol. 19, pp. 724-735). (ChemPhysChem). Netherlands: Elsevier. https://doi.org/10.1002/cphc.201701325
Contreras, J. E. ; Rodriguez, Edén ; Taha-Tijerina, Jaime. / The Independent Gradient Model : A New Approach for Probing Strong and Weak Interactions in Molecules from Wave Function Calculations. Handbook of Nanomaterials for Industrial Applications. Vol. 19 6. ed. Netherlands : Elsevier, 2018. pp. 724-735 (ChemPhysChem).
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Contreras, JE, Rodriguez, E & Taha-Tijerina, J 2018, The Independent Gradient Model: A New Approach for Probing Strong and Weak Interactions in Molecules from Wave Function Calculations. in Handbook of Nanomaterials for Industrial Applications. 6 edn, vol. 19, ChemPhysChem, Elsevier, Netherlands, pp. 724-735. https://doi.org/10.1002/cphc.201701325

The Independent Gradient Model : A New Approach for Probing Strong and Weak Interactions in Molecules from Wave Function Calculations. / Contreras, J. E.; Rodriguez, Edén ; Taha-Tijerina, Jaime.

Handbook of Nanomaterials for Industrial Applications. Vol. 19 6. ed. Netherlands : Elsevier, 2018. p. 724-735 (ChemPhysChem).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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Contreras JE, Rodriguez E, Taha-Tijerina J. The Independent Gradient Model: A New Approach for Probing Strong and Weak Interactions in Molecules from Wave Function Calculations. In Handbook of Nanomaterials for Industrial Applications. 6 ed. Vol. 19. Netherlands: Elsevier. 2018. p. 724-735. (ChemPhysChem). https://doi.org/10.1002/cphc.201701325