Computational Chemistry: A Practical Guide for Applying Techniques to Real World Problems

ISBN-13: 9780471333685 / Angielski / Twarda / 2001 / 408 str.

David C. Young

Opis

A practical, easily accessible guide for bench-top chemists, this book focuses on accurately applying computational chemistry techniques to everyday chemistry problems.

• Provides nonmathematical explanations of advanced topics in computational chemistry.
• Focuses on when and how to apply different computational techniques.
• Addresses computational chemistry connections to biochemical systems and polymers.
• Provides a prioritized list of methods for attacking difficult computational chemistry problems, and compares advantages and disadvantages of various approximation techniques.
• Describes how the choice of methods of software affects requirements for computer memory and processing time.

Recenzje

"...could be read cover to cover, providing...important insights...could serve as an excellent reference volume...both researchers and students would find it valuable.... I would consider it essential to have on the shelf..." (Journal of the American Chemical Society, Vol. 123, No. 41, 2001)

"...offers a research guide rather than a primary text...students might find some of the material useful...explains to chemists how to use computational techniques to address real–world research problems." (SciTech Book News, Vol. 25, No. 4, December 2001)

"If you′re looking for an aggregation of what′s out there, and a starting point for further reading or research, then this book does a pretty good job." (Chemweb – Alchemist, 11 February 2002)

Spis treści

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

O autorze

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.

Blurb

A complete bench–top guide to basic and advanced techniques used to solve real world research problems

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 field 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)