Machine learning-supported cybergenetic modeling, optimization and control for 
synthetic microbial communities

Espinel-Rios, Sebastian; Bettenbrock, Katja; Klamt, Steffen; Avalos, JL; Findeisen, R

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Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities

Espinel-Rios, S., Bettenbrock, K., Klamt, S., Avalos, J., & Findeisen, R. (2023). Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities. Talk presented at 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33). Athens, Greece. 2023-06-18 - 2023-06-21.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-9F5A-C Version Permalink: https://hdl.handle.net/21.11116/0000-000D-9F5B-B

Genre: Talk

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Creators:
Espinel-Rios, Sebastian^{1, 2}, Author
Bettenbrock, Katja¹, Author
Klamt, Steffen¹, Author
Avalos, JL³, Author
Findeisen, R⁴, Author

Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143
3Department of Chemical and Biological Engineering, Princeton University, 08544 Princeton, United States, ou_persistent22
4Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt, Landgraf-Georg-Straße 4, 64283 Darmstadt, Germany, ou_persistent22

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Language(s): eng - English

Dates: Created: 2023

Publication Status: Not specified

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Title: 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33)

Place of Event: Athens, Greece

Start-/End Date: 2023-06-18 - 2023-06-21

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