Canonical Ensemble Sampling

Canonical Ensemble Sampling is a Monte Carlo simulation method that generates representative states of a physical system at thermal equilibrium by sampling configurations according to the Boltzmann distribution for a fixed number of particles, volume, and temperature, thereby enabling statistical mechanical analysis of systems in contact with a heat bath.

137

Publications

30.4K

Citations

330

Authors

197

Institutions

Publications per year

2017–2026

20

Authors

330

  1. BL
    Benedict Leimkuhler

    University of Edinburgh, United Kingdom

    6 publications · 182 citations

    6

    h-index

  2. HN
    Haruki Nakamura

    The University of Osaka, Japan

    4 publications · 476 citations

    4

    h-index

  3. JH
    Junichi Higo

    The University of Osaka, Japan

    4 publications · 81 citations

    4

    h-index

  4. MP
    Michele Parrinello

    ETH Zurich, Switzerland

    4 publications · 22.3K citations

    4

    h-index

  5. ZZ
    Zhijun Zhang

    Chinese Academy of Sciences, China

    3 publications · 283 citations

    3

    h-index

1–5 of 330

Venues

  1. The Journal of Chemical Physics

    41 publications · 20.7K citations

    25

    h-index

  2. Molecular Physics

    9 publications · 1.7K citations

    9

    h-index

  3. The Journal of Physical Chemistry B

    7 publications · 1K citations

    7

    h-index

  4. Physical Review Letters

    PRL · 5 publications · 3.8K citations

    5

    h-index

  5. Physical review. B, Condensed matter

    PRB · 5 publications · 312 citations

    5

    h-index

1–5