Description: 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
Price: 179 AUD
Location: Hillsdale, NSW
End Time: 2024-11-17T15:20:09.000Z
Shipping Cost: 32.92 AUD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 60 Days
Return policy details:
EAN: 9780323951616
UPC: 9780323951616
ISBN: 9780323951616
MPN: N/A
Format: Paperback, 564 pages
Author: Dakeshwar Kumar Verma (Edited by)
Book Title: Computational Modelling and Simulations for Design
Item Height: 4.67 cm
Item Length: 23.5 cm
Item Weight: 1.11 kg
Item Width: 19.1 cm
Language: Eng
Publisher: Elsevier
