Development of Predictive QSPR Model of the First Reduction Potential from a Series of Tetracyanoquinodimethane (TCNQ) Molecules by the DFT (Density Functional Theory) Method | Zendy

Fatogoma Diarrassouba | Zendy; Mawa Koné | Zendy; Kafoumba Bamba | Zendy; Yafigui Traoré | Zendy; Mamadou Guy-Richard Koné | Zendy; Edja Florentin Assanvo | Zendy

Open Access

Development of Predictive QSPR Model of the First Reduction Potential from a Series of Tetracyanoquinodimethane (TCNQ) Molecules by the DFT (Density Functional Theory) Method

Author(s) -

Fatogoma Diarrassouba,

Mawa Koné,

Kafoumba Bamba,

Yafigui Traoré,

Mamadou Guy-Richard Koné,

Edja Florentin Assanvo

Publication year - 2019

Publication title -

computational chemistry

Language(s) - English

Resource type - Journals

eISSN - 2332-5984

pISSN - 2332-5968

DOI - 10.4236/cc.2019.74009

Subject(s) - tetracyanoquinodimethane , quantitative structure–activity relationship , applicability domain , molecule , molecular descriptor , density functional theory , reduction (mathematics) , test set , computational chemistry , series (stratigraphy) , chemistry , set (abstract data type) , mathematics , biological system , computer science , statistics , stereochemistry , organic chemistry , paleontology , geometry , biology , programming language

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