Computational Chemistry: A Practical Guide for Applying Techniques to Real World Problems (絕)
- 20本以上，享 8.5折
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- 一般書籍
- ISBN：9780470880081
- 作者：David Young
- 版次：1
- 年份：2001
- 出版商：John Wiley
- 頁數/規格：381頁/平裝單色
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本書特色
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作者介紹
Description
Thanks to the proliferation of inexpensive, easy-to-use computational chemistry programs, the average laboratory chemist now has access to powerful tools once reserved solely for highly trained specialists. Computational Chemistry was designed specifically to enable chemists to add computational chemistry techniques to their working arsenal.
This book supplies the expert advice and guidance needed to confidently choose and successfully apply the correct computational chemistry techniques to an array of real world scientific problems. Computational chemist David Young provides clear-cut descriptions and step-by-step instructions for solving technical problems. He explores basic techniques in the filed with a focus on their relative strengths and limitations. In addition, Young treats a range of advanced techniques from an easy-to-understand, nonmathematical standpoint, including transition structures, reaction coordinates, reaction rates, convergence problems, QM/MM, solvation, nonlinear optical properties, relativistic effects, mesoscale methods, and more.
Thanks to the proliferation of inexpensive, easy-to-use computational chemistry programs, the average laboratory chemist now has access to powerful tools once reserved solely for highly trained specialists. Computational Chemistry was designed specifically to enable chemists to add computational chemistry techniques to their working arsenal.
This book supplies the expert advice and guidance needed to confidently choose and successfully apply the correct computational chemistry techniques to an array of real world scientific problems. Computational chemist David Young provides clear-cut descriptions and step-by-step instructions for solving technical problems. He explores basic techniques in the filed with a focus on their relative strengths and limitations. In addition, Young treats a range of advanced techniques from an easy-to-understand, nonmathematical standpoint, including transition structures, reaction coordinates, reaction rates, convergence problems, QM/MM, solvation, nonlinear optical properties, relativistic effects, mesoscale methods, and more.
Computational Chemistry features:
- Prioritized lists of methods for attacking difficult computational chemistry problems
- Brief critical reviews of most commercially available software packages, assessing each for its overall effectiveness and practical utility
- A review of the material from the perspective of various chemical systems (such as organic molecules, inorganics, biomolecules, polymers, liquids, or solids)
Table of Contents
1. Introduction.
Part I. BASIC TOPICS.
2. Fundamental Principles.
3. Ab initio Methods.
4. Semiempirical Methods.
5. Density Functional Theory.
6. Molecular Mechanics.
7. Molecular Dynamics and Monte Carlo Simulations.
8. Predicting Molecular Geometry.
9. Constructing a Z-Matrix.
10. Using Existing Basis Sets.
11. Molecular Vibrations.
12. Population Analysis.
13. Other Chemical Properties.
14. The Importance of Symmetry.
15. Efficient Use of Computer Resources.
16. How to Conduct a Computational Research Project.
Part II. ADVANCED TOPICS.
17. Finding Transition Structures.
18. Reaction Coordinates.
19. Reaction Rates.
20. Potential Energy Surfaces.
21. Conformation Searching.
22. Fixing Self-Consistent Field Convergence Problems.
23. QM/MM.
24. Solvation.
25. Electronic Excited States.
26. Size Consistency.
27. Spin Contamination.
28. Basis Set Customization.
29. Force Field Customization.
30. Structure--Property Relationships.
31. Computing NMR Chemical Shifts.
32. Nonlinear Optical Properties.
33. Relativistic Effects.
34. Band Structures.
35. Mesoscale Methods.
36. Synthesis Route Prediction.
Part III.APPLICATIONS.
37. The Computational Chemist's View of the Periodic Table.
38. Biomolecules.
39. Simulating Liquids.
40. Polymers.
41. Solids and Surfaces.
Appendix. Software Packages
1. Introduction.
Part I. BASIC TOPICS.
2. Fundamental Principles.
3. Ab initio Methods.
4. Semiempirical Methods.
5. Density Functional Theory.
6. Molecular Mechanics.
7. Molecular Dynamics and Monte Carlo Simulations.
8. Predicting Molecular Geometry.
9. Constructing a Z-Matrix.
10. Using Existing Basis Sets.
11. Molecular Vibrations.
12. Population Analysis.
13. Other Chemical Properties.
14. The Importance of Symmetry.
15. Efficient Use of Computer Resources.
16. How to Conduct a Computational Research Project.
Part II. ADVANCED TOPICS.
17. Finding Transition Structures.
18. Reaction Coordinates.
19. Reaction Rates.
20. Potential Energy Surfaces.
21. Conformation Searching.
22. Fixing Self-Consistent Field Convergence Problems.
23. QM/MM.
24. Solvation.
25. Electronic Excited States.
26. Size Consistency.
27. Spin Contamination.
28. Basis Set Customization.
29. Force Field Customization.
30. Structure--Property Relationships.
31. Computing NMR Chemical Shifts.
32. Nonlinear Optical Properties.
33. Relativistic Effects.
34. Band Structures.
35. Mesoscale Methods.
36. Synthesis Route Prediction.
Part III.APPLICATIONS.
37. The Computational Chemist's View of the Periodic Table.
38. Biomolecules.
39. Simulating Liquids.
40. Polymers.
41. Solids and Surfaces.
Appendix. Software Packages
David Young, PhD, is a scientist with Cytoclonal Pharmaceutics in Dallas, Texas. Prior to joining the team at Cytoclonal, Dr. Young worked as a super-computer analyst for Nichols Research Corporation and Computer Sciences Corporation, and as an affiliate professor of chemistry at Auburn University.
