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Predicting protection capacities of pyrimidine-based corrosion inhibitors for mild steel/HCl interface using linear and nonlinear QSPR models

Taiwo W. Quadri, Lukman O. Olasunkanmi, Omolola E. Fayemi, Hassane Lgaz, Omar Dagdag, El‐Sayed M. Sherif, Ekemini D. Akpan, Han‐Seung Lee, Eno E. Ebenso

2022Journal of Molecular Modeling31 citationsDOI

Topics & Concepts

Quantitative structure–activity relationshipArtificial neural networkCorrosionBiological systemMolecular descriptorPyrimidineLinear regressionNonlinear systemNonlinear regressionPerceptronComputer scienceChemistryRegression analysisArtificial intelligenceMachine learningStereochemistryOrganic chemistryBiologyPhysicsQuantum mechanicsCorrosion Behavior and InhibitionMulticomponent Synthesis of HeterocyclesComputational Drug Discovery Methods
Predicting protection capacities of pyrimidine-based corrosion inhibitors for mild steel/HCl interface using linear and nonlinear QSPR models | Litcius