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Novel Contexts of Computer Simulation

  • H. L. Frisch
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 45)

Abstract

In this review paper we illustrate the application of standard simulation methods in statistical physics in two novel contexts. The first deals with the extraction of a dynamic relaxation time from a biased sampling Monte Carlo computation on equilibrium data. The specific example reviews a previously published Rouse model polymer chain dynamics derived from the Kramers potential with and without excluded volume interaction. The second deals with the approximate representation of continuous functions of many variables of physical interest in information retrieval or condensed matter/statistical physics in terms of continuous functions of one variable. The arguments of the latter can be stored once and for all in a computer memory.

Keywords

Simple Shear Target Function Gyration Radius Exclude Volume Interaction Rouse Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • H. L. Frisch
    • 1
  1. 1.Department of ChemistryState University of New YorkAlbanyUSA

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