Void Fraction Prediction

Void Fraction Prediction is a computational or analytical method that distinguishes itself within the broader class of two-phase flow modeling techniques by specifically enabling the estimation of the volumetric proportion of gas-phase regions in a multiphase system through empirical, theoretical, or data-driven approaches.

267

Publications

12.1K

Citations

757

Authors

315

Institutions

Publications per year

2017–2026

78

Authors

757

  1. TH
    Takashi Hibiki

    Purdue University West Lafayette, United States

    8 publications · 260 citations

    9

    h-index

  2. GH
    Gholam Hossein Roshani

    Kermanshah University of Technology, Iran

    9 publications · 728 citations

    9

    h-index

  3. EN
    Ehsan Nazemi

    Kermanshah University of Technology, Iran

    7 publications · 689 citations

    7

    h-index

  4. MK
    Masahiro Kawaji

    University of Toronto, Canada

    5 publications · 242 citations

    5

    h-index

  5. AI
    Akira Inoue

    Tohoku University, Japan

    5 publications · 155 citations

    5

    h-index

1–5 of 757

Venues

  1. Journal of Nuclear Science and Technology

    JNST · 13 publications · 339 citations

    11

    h-index

  2. AIChE Journal

    10 publications · 1.4K citations

    10

    h-index

  3. Nuclear Technology

    9 publications · 145 citations

    9

    h-index

  4. Journal of Heat Transfer

    9 publications · 1.4K citations

    9

    h-index

  5. Heat Transfer Engineering

    9 publications · 411 citations

    9

    h-index

1–5