Computational Modelling and Simulations for Designing of Corrosion Inhibitors: Fundamentals and Realistic Applications
Editat de Dakeshwar Kumar Verma, Chandrabhan Verma, Jeenat Aslamen Limba Engleză Paperback – 24 apr 2023
- 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
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Specificații
ISBN-13: 9780323951616
ISBN-10: 0323951619
Pagini: 564
Dimensiuni: 191 x 235 x 38 mm
Greutate: 0.96 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323951619
Pagini: 564
Dimensiuni: 191 x 235 x 38 mm
Greutate: 0.96 kg
Editura: ELSEVIER SCIENCE
Public țintă
Chemical engineers, chemists, corrosion chemists, metallurgists and material scientists working in R&D and academia working on corrosion inhibition mechanism systems at atomistic and molecular levelStudents, scientists, college and university professors, research professionals, technology investors and developers, research enterprises, R&D and defense research laboratories, academic and research libraries in the fields of electrochemical engineering, corrosion science, materials science and engineering, energy, environment, chemistry, colloid science, etc. Libraries in universities and industrial institutions, government and independent institutes, individual research groups and scientists working in the field of corrosion inhibition systems
Cuprins
Part 1. Fundamental and Basics of corrosion mechanism
1. Corrosion Inhibition: Current trends and challenges
2. Theory of Corrosion and Corrosion Inhibition
3. Organic corrosion inhibitors
4. Deep understanding of corrosion inhibition mechanism based on first-principle calculations
5. Molecular modelling in corrosion inhibition assessments
Part 2. Molecular modelling of corrosion inhibition: Advantages and challenges
6. DFT based molecular modelling
7. MD based computational modelling
8. MC simulation based molecular modelling
9. QSAR and Artificial neural network (ANN) based molecular modelling
10. MEPTIC and Machine Learning Approaches of corrosion inhibition
11. Explicit Modelling of Corrosion Inhibition
Part 3. Basic parameters derived from computational modelling
12. Electrochemical principles of corrosion inhibition: fundamental and computational aspects of DFT
13. DFT-based chemical reactivity concepts, calculations, and their application to designing green corrosion inhibitors
14. Theories and radial distribution function of MD and MC simulations
15. Important parameters derived from MC and MD simulations
16. Theories, methods and the parameters of QSAR and ANN
Part 4. Theoretical insight in designing green corrosion inhibitors
17. Theoretical calculations-based results for plan extract as green corrosion inhibitors
18. Aliphatic organic compounds as corrosion inhibitors for ferrous and nonferrous metals
19. Nitrogen containing heterocyclic compounds as green corrosion inhibitors
20. Oxygen containing heterocyclic compounds as green corrosion inhibitors
21. Phosphorus containing molecules as green corrosion inhibitors
22. Sulphur containing heterocyclic compounds as green corrosion inhibitors
23. Carbohydrates and derivatives as green corrosion inhibitors
24. Pharmaceutical drugs as prominent corrosion inhibitors
25. Ionic liquids as green corrosion inhibitors
26. QSAR and ANN based results for designing corrosion inhibitors
1. Corrosion Inhibition: Current trends and challenges
2. Theory of Corrosion and Corrosion Inhibition
3. Organic corrosion inhibitors
4. Deep understanding of corrosion inhibition mechanism based on first-principle calculations
5. Molecular modelling in corrosion inhibition assessments
Part 2. Molecular modelling of corrosion inhibition: Advantages and challenges
6. DFT based molecular modelling
7. MD based computational modelling
8. MC simulation based molecular modelling
9. QSAR and Artificial neural network (ANN) based molecular modelling
10. MEPTIC and Machine Learning Approaches of corrosion inhibition
11. Explicit Modelling of Corrosion Inhibition
Part 3. Basic parameters derived from computational modelling
12. Electrochemical principles of corrosion inhibition: fundamental and computational aspects of DFT
13. DFT-based chemical reactivity concepts, calculations, and their application to designing green corrosion inhibitors
14. Theories and radial distribution function of MD and MC simulations
15. Important parameters derived from MC and MD simulations
16. Theories, methods and the parameters of QSAR and ANN
Part 4. Theoretical insight in designing green corrosion inhibitors
17. Theoretical calculations-based results for plan extract as green corrosion inhibitors
18. Aliphatic organic compounds as corrosion inhibitors for ferrous and nonferrous metals
19. Nitrogen containing heterocyclic compounds as green corrosion inhibitors
20. Oxygen containing heterocyclic compounds as green corrosion inhibitors
21. Phosphorus containing molecules as green corrosion inhibitors
22. Sulphur containing heterocyclic compounds as green corrosion inhibitors
23. Carbohydrates and derivatives as green corrosion inhibitors
24. Pharmaceutical drugs as prominent corrosion inhibitors
25. Ionic liquids as green corrosion inhibitors
26. QSAR and ANN based results for designing corrosion inhibitors