Unstructured Models
Unstructured Model is a type of mathematical representation in bioprocess modeling that describes the dynamics of microbial growth and product formation without accounting for the internal cellular structure or specific physiological states of the biomass, relying instead on overall macroscopic variables such as substrate, biomass, and product concentrations.
302
Publications
14K
Citations
873
Authors
374
Institutions
Publications per year
2017–2026
61
Variants
Unstructured Model
Parents
302
The State of Sparsity in Deep Neural Networks
Trevor Gale, Erich Elsen, Sara Hooker · arXiv (Cornell University) · 2019 · 441 citations · Full text
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374

Centre National de la Recherche Scientifique
Paris, France
11 h-index
23 publications
1.1K citations
William & Mary
Williamsburg, United States
10 h-index
31 publications
1.9K citations
Université de Rennes
Rennes, France
6 h-index
12 publications
293 citations

Imperial College London
London, United Kingdom
6 h-index
22 publications
750 citations

Delft University of Technology
Delft, The Netherlands
6 h-index
16 publications
931 citations
Stanford University
Stanford, United States
5 h-index
8 publications
744 citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
6 publications
355 citations
Technical University of Denmark
Kongens Lyngby, Denmark
5 h-index
14 publications
717 citations
1–8 of 374
24 publications · 1.3K citations
19
h-index
11 publications · 590 citations
11
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6 publications · 235 citations
6
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6 publications · 229 citations
6
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Repository · 5 publications · 578 citations
5
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