Zeitschrift für anorganische und allgemeine Chemie · 2016 · 25 citations · 59 references
Natural SciencesChemistryComputational ChemistryCorrosion ScienceStructure-activity RelationshipsCorrosion InhibitorsCorrosion-resistant MaterialsMolecular ModelingMolecular Property PredictionQuantitative Structure-activity RelationshipsStructure-activity Relationship AnalysisCorrosion InhibitionCorrosion Inhibition MechanismsCorrosion Inhibitor Efficiency EvaluationCorrosion PredictionInhibitor Efficiency EvaluationOrganic Corrosion InhibitorsQuantitative Structure - Property Relationship ModelingQuantitative Structure-property Relationship Models
Abstract A simple approach was introduced to predict the corrosion inhibition efficiency of some imidazole and benzimidazole derivatives as well as linear organic compounds containing several polar functional groups. In contrast to available predictive methods including quantitative structure‐activity relationship models (QSAR models) and quantum methods, there is no need to use complex computer codes and unusual complicated molecular descriptors as well expert users. For 34 nitrogen containing corrosion inhibitors, where the results of two complex models were available, the root mean squared (RMS) deviations of the new method is 4.58, which is much lower than the computed outputs of two available models. The RMS value of the new method is 6.15 for further eleven compounds, which confirm high reliability of the new correlation.
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Ehteram A. Noor, Aisha H. Al‐Moubaraki · Materials Chemistry and Physics · 2008 · 629 citations
Natural Sciences, Materials Engineering, Materials Science +17