通过 QSAR 和机器学习深入了解缓蚀开发:苯并咪唑衍生物的应用

IF 2.8 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY International Journal of Corrosion and Scale Inhibition Pub Date : 2023-12-24 DOI:10.17675/2305-6894-2023-12-4-36
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Insights into corrosion inhibition development through QSAR and machine learning: Application to benzimidazole derivatives
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来源期刊
International Journal of Corrosion and Scale Inhibition
International Journal of Corrosion and Scale Inhibition MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
36.00%
发文量
81
审稿时长
4 weeks
期刊介绍: The International Journal of Corrosion and Scale Inhibition is intended to: consolidate publications dealing with the theory and practice of applying inhibitors against corrosion and scaling of metals and alloys; provide an option for fast information publication in the field of metal protection by inhibitors; provide free access to information on inhibitor protection.
期刊最新文献
Chemical transformation of corrosion inhibitors in the aggressive environment/metal system. Review Field tests of the efficiency of the corrosion inhibitor IFKhAN-80 for reinforcement steel in concrete under tropical conditions. 1. Contact protection Insights into corrosion inhibition development through QSAR and machine learning: Application to benzimidazole derivatives Using the essential oil of the plant Illicium verum as an ecological corrosion inhibitor for stainless steel in an HCl solution Competitive adsorption of Cu2+ and chloride ions, polyethylene glycol and sulfur-containing organic additives on copper in sulfuric acid electrolytes
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