State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors

Applied Physics Reviews, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 6, 2025

Artificial intelligence (AI) and machine learning (ML) have attracted the interest of research community in recent years. ML has found applications various areas, especially where relevant data that could be used for algorithm training retraining are available. In this review article, been discussed relation to its corrosion science, monitoring control. tools techniques, structure modeling methods, were thoroughly discussed. Furthermore, detailed inhibitor design/modeling coupled with associated limitations future perspectives reported.

Язык: Английский

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Machine Learning-Based Prediction of Corrosion Inhibition Efficiency of Expired Pharmaceuticals: Model Development and Application

Journal of Bio- and Tribo-Corrosion, Год журнала: 2025, Номер 11(1)

Опубликована: Янв. 21, 2025

Язык: Английский

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Stacking Classical-Quantum Hybrid Learner Approach for Corrosion Inhibition Efficiency of N-Heterocyclic Compounds

Results in Surfaces and Interfaces, Год журнала: 2025, Номер unknown, С. 100462 - 100462

Опубликована: Фев. 1, 2025

Язык: Английский

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Robust Machine Learning for Predicting Thermal Stability of Metal-Organic Framework

Chemistry Africa, Год журнала: 2024, Номер unknown

Опубликована: Сен. 30, 2024

Язык: Английский

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