Computational Modelling and Simulations for Designing of Corrosion Inhibitors
Autor: | Dakeshwar Kumar Verma, Chandrabhan Verma, Jeenat Aslam |
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EAN: | 9780323951623 |
eBook Format: | ePUB/PDF |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 19.04.2023 |
Untertitel: | Fundamentals and Realistic Applications |
Kategorie: | |
Schlagworte: | ?ANN ANN (artificial neural network) Acidic environment Acidic media Adsorption Aromatic compound Biochemistry methods CO2 inhibition Carbohydrate Carbohydrate derivatives Cathodic inhibitors Chitosan oligosaccharide derivatives Computati |
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Computational Modeling and Simulations for Designing of Corrosion Inhibitors: Fundamentals and Realistic Applications offers a collection of major advancements in the field of computational modeling for the design and testing of corrosion inhibition effectiveness of organic corrosion inhibitors. This guide presents the latest developments in molecular modeling of organic compounds using computational software, which has emerged as a powerful approach for theoretical determination of corrosion inhibition potentials of organic compounds. The book covers common techniques involved in theoretical studies of corrosion inhibition potentials, and mechanisms such as density functional theory, molecular dynamics, Monte Carlo simulations, artificial neural networks, and quantitative structure-activity relationship. - Covers basic, fundamental principles, advantages, parameters, and applications of computational and molecular modeling for designing potential corrosion inhibitors for metals and alloys - Describes advancements of computational modeling for the design of organic corrosion inhibitors and applications in electrochemical engineering and materials science - Focuses on the most advanced applications in industry-oriented fields, including current challenges - Includes websites of interest and information about the latest research