Dynamic Disorder Modeling

Dynamic Disorder Modeling is a computational framework within ensemble modeling that characterizes system-level variability by accounting for time-varying heterogeneity in component behavior, distinguishing itself from static ensemble methods through its explicit incorporation of temporal fluctuations in individual dynamics.

92

Publications

3.8K

Citations

259

Authors

149

Institutions

Publications per year

2017–2026

22

Authors

259

  1. AT
    Alessandro Troisi

    University of Warwick, United Kingdom

    5 publications · 206 citations

    5

    h-index

  2. MT
    Martin T. Dove

    University of Cambridge, United Kingdom

    4 publications · 232 citations

    4

    h-index

  3. AJ
    Adam J. Moulé

    University of California, Davis, United States

    3 publications · 60 citations

    3

    h-index

  4. TK
    Tamiki Komatsuzaki

    Hokkaido University, Japan

    2 publications · 82 citations

    2

    h-index

  5. DV
    Daniel Vong

    University of Kentucky, United States

    2 publications · 37 citations

    2

    h-index

1–5 of 259

Venues

  1. The Journal of Chemical Physics

    10 publications · 318 citations

    9

    h-index

  2. The Journal of Physical Chemistry Letters

    6 publications · 278 citations

    6

    h-index

  3. The Journal of Physical Chemistry C

    5 publications · 162 citations

    5

    h-index

  4. 4

    h-index

  5. The Journal of Physical Chemistry B

    3 publications · 96 citations

    3

    h-index

1–5