Force Softening

Force softening is a computational technique in N-body simulations that belongs to the class of numerical regularization methods, distinguished by its introduction of a small length scale to prevent divergent gravitational forces between particles at close distances by modifying the inverse-square law with a softened potential kernel.

62

Publications

4.8K

Citations

165

Authors

98

Institutions

Publications per year

2017–2026

10

Authors

165

  1. MJ
    Michael Joyce

    National Institutes of Health, United States

    2 publications · 39 citations

    2

    h-index

  2. FC
    Frank C. van den Bosch

    Yale University, United States

    2 publications · 350 citations

    2

    h-index

  3. MY
    Masatsugu Yaguchi

    Central Research Institute of Electric Power Industry, Japan

    2 publications · 280 citations

    2

    h-index

  4. JL
    Jean‐Charles Lambert

    Inserm, France

    2 publications · 105 citations

    2

    h-index

  5. ME
    M. Elices

    Universidad Politécnica de Madrid, Spain

    2 publications · 143 citations

    2

    h-index

1–5 of 165

Venues

  1. Monthly Notices of the Royal Astronomical Society

    10 publications · 1.1K citations

    9

    h-index

  2. The Astrophysical Journal

    ApJ · 6 publications · 1.6K citations

    6

    h-index

  3. Astronomy and Astrophysics

    3 publications · 163 citations

    3

    h-index

  4. CERN Document Server (European Organization for Nuclear Research)

    Repository · 3 publications · 112 citations

    3

    h-index

  5. Europhysics Letters (EPL)

    2 publications · 38 citations

    2

    h-index

1–5