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Pair Approximation for Polarization Interaction: Efficient Method for Monte Carlo Simulations of Polarizable Fluids.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F01%3A27020042" target="_blank" >RIV/67985858:_____/01:27020042 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pair Approximation for Polarization Interaction: Efficient Method for Monte Carlo Simulations of Polarizable Fluids.

  • Original language description

    A new method is presented for the Monte Carlo simulations of polarizable models with induced dipole moments. This method updates induced dipole moments on all molecules when a single molecule is moved, without evaluating all pair interactions. Thus, depending on the number of molecules, it is 10ů20 times faster than Monte Carlo simulations with full iteration. The eü ciency makes it a powerful tool for the study of phase equilibria of polarizable models in grand canonical and Gibbs ensembles.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    CF - Physical chemistry and theoretical chemistry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2001

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Molecular Physics

  • ISSN

    0026-8976

  • e-ISSN

  • Volume of the periodical

    99

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    6

  • Pages from-to

    349-354

  • UT code for WoS article

  • EID of the result in the Scopus database