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Quantitative structure activity relationship and artificial neural network as vital tools in predicting coordination capabilities of organic compounds with metal surface: A review

Taiwo W. Quadri, Lukman O. Olasunkanmi, Omolola E. Fayemi, Ekemini D. Akpan, Chandrabhan Verma, El‐Sayed M. Sherif, K.F. Khaled, Eno E. Ebenso

2021Coordination Chemistry Reviews73 citationsDOI

Topics & Concepts

Quantitative structure–activity relationshipCorrosionChemistryArtificial neural networkSupport vector machineMetalArtificial intelligenceBiochemical engineeringMolecular descriptorBiological systemFunction (biology)Machine learningCombinatorial chemistryNanotechnologyComputer scienceOrganic chemistryStereochemistryEngineeringMaterials scienceBiologyEvolutionary biologyCorrosion Behavior and InhibitionConcrete Corrosion and DurabilityHydrogen embrittlement and corrosion behaviors in metals
Quantitative structure activity relationship and artificial neural network as vital tools in predicting coordination capabilities of organic compounds with metal surface: A review | Litcius