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22 - Molecular simulation methods

Published online by Cambridge University Press:  05 April 2015

M. Scott Shell
Affiliation:
University of California, Santa Barbara
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Summary

Throughout this text we have presented a molecular foundation for the principles of thermodynamics that has considered many highly simplified molecular models of a variety of systems, including idealized gases, solutions, polymers, and crystals. It might not be immediately obvious how we extend these ideas to more realistic models that, for example, might entail structured molecules with complex potential energy functions including bonded, electrostatic, and van der Waals energies all at once. Even the seemingly simple task of developing the thermodynamics of a monatomic fluid at high densities, such as liquid argon, can be challenging owing to the difficulty of treating the detailed pairwise interactions in the configurational partition function.

Two routes enable one to move beyond the general statistical-mechanical considerations of Chapters 16–19 to solve molecular models of nontrivial complexity. The first is the large collection of mathematical approximations and conceptual approaches that comprises the framework of statistical-mechanical theory. These techniques often give closed-form but approximate analytical expressions for the properties of a system that are valid in certain limits (e.g., the high-density one), or, alternatively, sets of equations that can be solved using standard numerical tools. The particular approaches are usually system-specific because they hinge on simplifications motivated by the physics of the interactions at hand. We will not discuss this body of work in any detail, but refer the reader to the excellent introductory texts by Hill and McQuarrie.

Type
Chapter
Information
Thermodynamics and Statistical Mechanics
An Integrated Approach
, pp. 444 - 469
Publisher: Cambridge University Press
Print publication year: 2015

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References

Allen, M. P. and Tildesley, D. J., Computer Simulation of Liquids. New York: Oxford University Press (1989).Google Scholar
Frenkel, D. and Smit, B., Understanding Molecular Simulation: From Algorithms to Applications, 2nd edn. San Diego, CA: Academic (2002).Google Scholar
Leach, A. R., Molecular Modelling: Principles and Applications, 2nd edn. New York: Prentice-Hall (2001).Google Scholar

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  • Molecular simulation methods
  • M. Scott Shell, University of California, Santa Barbara
  • Book: Thermodynamics and Statistical Mechanics
  • Online publication: 05 April 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139028875.024
Available formats
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  • Molecular simulation methods
  • M. Scott Shell, University of California, Santa Barbara
  • Book: Thermodynamics and Statistical Mechanics
  • Online publication: 05 April 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139028875.024
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Molecular simulation methods
  • M. Scott Shell, University of California, Santa Barbara
  • Book: Thermodynamics and Statistical Mechanics
  • Online publication: 05 April 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139028875.024
Available formats
×