Young Computational Chemistry

A Practical Guide for Applying Techniques to Real World Problems
1. Auflage 2004
ISBN: 978-0-471-45843-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 408 Seiten, E-Book

A practical, easily accessible guide for bench-top chemists, thisbook focuses on accurately applying computational chemistrytechniques to everyday chemistry problems.
* Provides nonmathematical explanations of advanced topics incomputational chemistry.
* Focuses on when and how to apply different computationaltechniques.
* Addresses computational chemistry connections to biochemicalsystems and polymers.
* Provides a prioritized list of methods for attacking difficultcomputational chemistry problems, and compares advantages anddisadvantages of various approximation techniques.
* Describes how the choice of methods of software affectsrequirements for computer memory and processing time.

Autoren/Hrsg.

Young, David

Inhaltsverzeichnis

PREFACE xvii
ACKNOWLEDGMENTS xxi
SYMBOLS USED IN THIS BOOK xxiii
1. Introduction 1
Part I. BASIC TOPICS 5
2. Fundamental Principles 7
3. Ab initio Methods 19
4. Semiempirical Methods 32
5. Density Functional Theory 42
6. Molecular Mechanics 49
7. Molecular Dynamics and Monte Carlo Simulations 60
8. Predicting Molecular Geometry 67
9. Constructing a Z-Matrix 73
10. Using Existing Basis Sets 78
11. Molecular Vibrations 92
12. Population Analysis 99
13. Other Chemical Properties 107
14. The Importance of Symmetry 125
15. Efficient Use of Computer Resources 128
16. How to Conduct a Computational Research Project 135
Part II. ADVANCED TOPICS 145
17. Finding Transition Structures 147
18. Reaction Coordinates 159
19. Reaction Rates 164
20. Potential Energy Surfaces 173
21. Conformation Searching 179
22. Fixing Self-Consistent Field Convergence Problems 193
23. QM/MM 198
24. Solvation 206
25. Electronic Excited States 216
26. Size Consistency 223
27. Spin Contamination 227
28. Basis Set Customization 231
29. Force Field Customization 239
30. Structure-Property Relationships 243
31. Computing NMR Chemical Shifts 252
32. Nonlinear Optical Properties 256
33. Relativistic Effects 261
34. Band Structures 266
35. Mesoscale Methods 273
36. Synthesis Route Prediction 277
Part III. APPLICATIONS 281
37. The Computational Chemist's View of the Periodic Table 283
38. Biomolecules 296
39. Simulating Liquids 302
40. Polymers 307
41. Solids and Surfaces 318
Appendix. Software Packages 322
GLOSSARY 360
Bibliography 370
INDEX 371

Über Autor(innen)

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.