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    Statistical Mechanics of Nonequilbrium Liquids

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    Author(s)
    J. Evans, Denis
    P. Morriss, Gary
    Language
    English
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    Abstract
    During the 1980’s there were many developments regarding the nonequilibrium statistical mechanics of dense classical atomic fluids. These developments have had a major impact on the computer simulation methods used to model nonequilibrium fluids. The present volume is, in part, an attempt to provide a pedagogical discussion of the statistical mechanical justification of these algorithms. There is a symbiotic relationship between theoretical nonequilibrium statistical mechanics on the one hand and the theory and practice of computer simulation on the other. Sometimes, the initiative for progress has been with the pragmatic requirements of computer simulation and at other times, the initiative has been with the fundamental theory of nonequilibrium processes. This book summarises progress in this field up to 1990.
    URI
    http://library.oapen.org/handle/20.500.12657/33616
    Keywords
    computer simulation; statistical mechanics; liquids; nonequilibrium fluids; Cross-correlation matrix; Equations of motion; Phase space; Strain rate; Thermodynamic equilibrium; Viscosity
    DOI
    10.26530/OAPEN_459733
    ISBN
    9781921313233
    OCN
    966493430
    Publisher
    ANU Press
    Publisher website
    https://press.anu.edu.au/
    Publication date and place
    Canberra, 2007
    Classification
    Science: general issues
    Public remark
    Relevant Wikipedia pages: Cross-correlation matrix - https://en.wikipedia.org/wiki/Cross-correlation_matrix; Equations of motion - https://en.wikipedia.org/wiki/Equations_of_motion; Phase space - https://en.wikipedia.org/wiki/Phase_space; Strain rate - https://en.wikipedia.org/wiki/Strain_rate; Thermodynamic equilibrium - https://en.wikipedia.org/wiki/Thermodynamic_equilibrium; Viscosity - https://en.wikipedia.org/wiki/Viscosity
    Rights
    http://press.anu.edu.au/about/conditions-use
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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