Population Balance Simulation

Population Balance Simulation is a computational modeling approach within compartmental model simulation that specifically tracks the temporal evolution of a population's distributed properties by solving integro-partial differential equations to account for processes such as birth, death, growth, and aggregation across continuous or discrete state variables.

198

Publications

7.7K

Citations

629

Authors

234

Institutions

Publications per year

2017–2026

60

Authors

629

  1. YM
    Yasunari Matsuno

    The University of Tokyo, Japan

    6 publications · 284 citations

    6

    h-index

  2. YA
    Yoshihiro Adachi

    The University of Tokyo, Japan

    6 publications · 284 citations

    6

    h-index

  3. ID
    Ichiro Daigo

    The University of Tokyo, Japan

    5 publications · 245 citations

    5

    h-index

  4. MA
    Menwer Attarakih

    University of Kaiserslautern, Germany

    5 publications · 185 citations

    5

    h-index

  5. SC
    Sherman C.P. Cheung

    RMIT University, Australia

    4 publications · 261 citations

    4

    h-index

1–5 of 629

Venues

  1. Chemical Engineering Science

    38 publications · 2.2K citations

    26

    h-index

  2. Industrial & Engineering Chemistry Research

    15 publications · 778 citations

    13

    h-index

  3. AIChE Journal

    12 publications · 511 citations

    11

    h-index

  4. Powder Technology

    9 publications · 426 citations

    9

    h-index

  5. Computers & Chemical Engineering

    8 publications · 211 citations

    8

    h-index

1–5