A Beginner's Guide to Computational Chemistry: Methods and Applications: Theoretical and Computational Chemistry
Autor John M. Galbraith, T. Daniel Crawforden Limba Engleză Paperback – feb 2027
This book is ideal for is upper level undergraduate and entry level graduate students completely new to the field of computational chemistry, and those with little background knowledge. It is well-suited to entry level courses at this level.
- Provides upper level undergraduate and entry level graduate students with a basic knowledge of computational chemistry methods in a straightforward, non-mathematical format
- Highlights the best and most useful computational chemistry, showing the reader how to access them, including software repositories, user groups, and online forums
- Explores the way computational chemists think from historical, ethical, and sociological perspectives
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Specificații
ISBN-13: 9780443299216
ISBN-10: 0443299218
Pagini: 456
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Theoretical and Computational Chemistry
ISBN-10: 0443299218
Pagini: 456
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Theoretical and Computational Chemistry
Cuprins
Section I. Computers
1. System administration and operating systems
2. Math Packages
3. Programming
Section II. Electronic Structure Methods
4. Basis sets
5. Molecular Orbital Methods
6. Valence Bond Methods
7. Density Functional Methods
8. Semi-empirical methods
9. Applications
10. Data analysis
Section III. Molecular Mechanics Methods
11. Force Field models
12. Applications
Section IV. Hybrid Methods
13. QM/MM
14. Empirical Valence Bond Methods
Section V. Solids and Surfaces:
15. Periodic systems
16. Applications
Section VI. Simulation Techniques
17. Molecular Dynamics Methods
18. Monte Carlo Methods
19. Applications
Section VII. Large Data Sets
20. Machine Learning
Section VIII. Resources
21. MolSSI
22. Computer resources
23. Software resources
1. System administration and operating systems
2. Math Packages
3. Programming
Section II. Electronic Structure Methods
4. Basis sets
5. Molecular Orbital Methods
6. Valence Bond Methods
7. Density Functional Methods
8. Semi-empirical methods
9. Applications
10. Data analysis
Section III. Molecular Mechanics Methods
11. Force Field models
12. Applications
Section IV. Hybrid Methods
13. QM/MM
14. Empirical Valence Bond Methods
Section V. Solids and Surfaces:
15. Periodic systems
16. Applications
Section VI. Simulation Techniques
17. Molecular Dynamics Methods
18. Monte Carlo Methods
19. Applications
Section VII. Large Data Sets
20. Machine Learning
Section VIII. Resources
21. MolSSI
22. Computer resources
23. Software resources