Mechanistic Process Modeling

Mechanistic Process Modeling is a computational modeling approach in bioprocess optimization that formally represents the underlying biochemical and physical mechanisms of a system through deterministic equations, distinguishing it from empirical or black-box models by its reliance on first-principles kinetics and physiological understanding.

175

Publications

9.9K

Citations

589

Authors

296

Institutions

Publications per year

2017–2026

69

Authors

589

  1. RE
    Richard E. DeVor

    University of Illinois Urbana-Champaign, United States

    6 publications · 174 citations

    6

    h-index

  2. SG
    Shiv G. Kapoor

    University of Illinois Urbana-Champaign, United States

    5 publications · 158 citations

    5

    h-index

  3. CH
    Christoph Herwig

    TU Wien, Austria

    4 publications · 180 citations

    4

    h-index

  4. AM
    Alexander Mitsos

    RWTH Aachen University, Germany

    3 publications · 78 citations

    3

    h-index

  5. HN
    Harini Narayanan

    ETH Zurich, Switzerland

    3 publications · 214 citations

    3

    h-index

1–5 of 589

Venues

  1. Computers & Chemical Engineering

    8 publications · 504 citations

    8

    h-index

  2. Industrial & Engineering Chemistry Research

    7 publications · 303 citations

    7

    h-index

  3. AIChE Journal

    5 publications · 262 citations

    5

    h-index

  4. 5

    h-index

  5. Biotechnology and Bioengineering

    4 publications · 325 citations

    4

    h-index

1–5