Structured Population Balance Models

Structured Population Balance Models is a mathematical modeling framework that describes the dynamics of heterogeneous cell populations in bioprocesses by accounting for the distribution of internal cellular states, such as biomolecule concentrations or cell size, within a population through partial integro-differential equations, thereby enabling the prediction of population-level behavior from individual-level physiological attributes.

11

Publications

632

Citations

31

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

31

  1. DR
    Doraiswami Ramkrishna

    Purdue University West Lafayette, United States

    3 publications · 75 citations

    3

    h-index

  2. EA
    Eric A. Sherer

    Louisiana Tech University, United States

    2 publications · 62 citations

    2

    h-index

  3. RE
    R. E. Hannemann

    Purdue University West Lafayette, United States

    2 publications · 62 citations

    2

    h-index

  4. AE
    Ann E. Rundell

    Purdue University West Lafayette, United States

    2 publications · 62 citations

    2

    h-index

  5. CS
    Che‐Chi Shu

    University of Minnesota, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 31

Venues

  1. Brazilian Journal of Chemical Engineering

    1 publications · 11 citations

    1

    h-index

  2. Computing

    1 publications · 30 citations

    1

    h-index

  3. Biotechnology and Bioengineering

    1 publications · 34 citations

    1

    h-index

  4. Chemical Engineering Science

    1 publications · 13 citations

    1

    h-index

  5. Discrete and Continuous Dynamical Systems - B

    1 publications · 47 citations

    1

    h-index

1–5