Single-chain Statistics

Single-Chain Statistics is a theoretical framework in polymer physics that characterizes the conformational properties and spatial distribution of individual polymer chains in solution by analyzing their statistical mechanical behavior under specific thermodynamic conditions.

84

Publications

3.9K

Citations

217

Authors

101

Institutions

Publications per year

2017–2026

8

Authors

217

  1. JZ
    Jean-Marc Zanotti

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    2 publications · 47 citations

    2

    h-index

  2. TA
    Thomas A. Vilgis

    Max Planck Institute for Polymer Research, Germany

    2 publications · 68 citations

    2

    h-index

  3. RH
    Robert Hołyst

    Institute of Physical Chemistry, Poland

    2 publications · 68 citations

    2

    h-index

  4. AJ
    Andrew J. Spakowitz

    Stanford University, United States

    2 publications · 112 citations

    2

    h-index

  5. JC
    Juan Colmenero

    University of the Basque Country, Spain

    2 publications · 83 citations

    2

    h-index

1–5 of 217

Venues

  1. The Journal of Chemical Physics

    16 publications · 972 citations

    15

    h-index

  2. Macromolecules

    11 publications · 687 citations

    11

    h-index

  3. Polymer

    7 publications · 212 citations

    7

    h-index

  4. 4

    h-index

  5. Journal of the Physical Society of Japan

    3 publications · 76 citations

    3

    h-index

1–5