Article, Early Access, 2024

Bringing a scalable adaptive hybrid modeling framework closer to industrial use: Application on a multiscale fungal fermentation

BIOTECHNOLOGY AND BIOENGINEERING, ISSN 0006-3592, 10.1002/bit.28670

Contributors

Rydal, Thomas [1] Frandsen, Jesper [2] Nadal-Rey, Gisela [1] Albaek, Mads Orla [1] Ramin, Pedram (Corresponding author) [2]

Affiliations

  1. [1] Novozymes AS, Fermentat Pilot Plant, Bagsvaerd, Denmark
  2. [NORA names: Novonesis; Private Research; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Tech Univ Denmark, Proc & Syst Engn Ctr PROSYS, Dept Chem & Biochem Engn, Bldg 228 A, DK-2800 Lyngby, Denmark
  4. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Abstract not displayed. As this article is not marked as Open Access, it is unclear if we are allowed to show the abstract. Please use the link in the sidebar to view the data provider version of the article including abstract.

Keywords

data-driven modeling, digitalization, hybrid modeling, industrial fermentation, mechanistic modeling, multiscale fermentation

Data Provider: Clarivate