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  • Print publication year: 2015
  • Online publication date: April 2015

22 - Molecular simulation methods

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.

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