Entropy-driven Modeling

Entropy-Driven Modeling is a coarse-grained modeling approach that specifically leverages entropy as the primary thermodynamic driving force to predict system behavior, distinguishing itself from other methods by prioritizing entropic contributions over energetic interactions in the simplification and abstraction of molecular or particulate systems.

74

Publications

4K

Citations

262

Authors

147

Institutions

Publications per year

2017–2026

28

Authors

262

  1. KZ
    Kai Zhang

    Nanjing Medical University, China

    3 publications · 65 citations

    3

    h-index

  2. MX
    Minhao Xie

    Nanjing Medical University, China

    2 publications · 42 citations

    2

    h-index

  3. RK
    Rajamani Krishna

    University of Amsterdam, Netherlands

    2 publications · 165 citations

    2

    h-index

  4. BJ
    Byung Jin Mhin

    Pohang University of Science and Technology, South Korea

    2 publications · 119 citations

    2

    h-index

  5. KS
    Kwang S. Kim

    Pohang University of Science and Technology, South Korea

    2 publications · 119 citations

    2

    h-index

1–5 of 262

Venues

  1. The Journal of Chemical Physics

    3 publications · 194 citations

    3

    h-index

  2. Chemical Physics Letters

    3 publications · 142 citations

    3

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 562 citations

    2

    h-index

  4. Journal of Statistical Mechanics Theory and Experiment

    JSTAT · 2 publications · 52 citations

    2

    h-index

  5. 2

    h-index

1–5