Statistical Chain Statistics

Statistical Chain Statistics is a theoretical framework within polymer science that characterizes the probabilistic distribution of molecular chain lengths and architectures in a polymer sample, distinguishing itself by applying statistical mechanics to model the frequency and arrangement of polymer chains as a function of their degree of polymerization and connectivity.

89

Publications

6.7K

Citations

160

Authors

75

Institutions

Publications per year

2017–2026

2

Authors

160

  1. JS
    J.A. Semlyen

    University of York, United Kingdom

    6 publications · 391 citations

    6

    h-index

  2. GA
    Giuseppe Allegra

    Politecnico di Milano, Italy

    3 publications · 96 citations

    3

    h-index

  3. PJ
    Paul J. Flory

    Stanford University, United States

    3 publications · 1.1K citations

    3

    h-index

  4. TU
    Toshiyuki Uryu

    The University of Tokyo, Japan

    2 publications · 51 citations

    2

    h-index

  5. TC
    T. C. Lubensky

    University of Pennsylvania, United States

    2 publications · 392 citations

    2

    h-index

1–5 of 160

Venues

  1. The Journal of Chemical Physics

    18 publications · 1.7K citations

    14

    h-index

  2. Macromolecules

    12 publications · 298 citations

    10

    h-index

  3. Polymer

    8 publications · 308 citations

    8

    h-index

  4. Journal of Polymer Science

    4 publications · 152 citations

    4

    h-index

  5. 3

    h-index

1–5