Learning reduced-order models for dynamic CO2 methanation using operator 
inference

Peterson, Luisa; Bremer, Jens; Goyal, Pawan Kumar; Gosea, Ion Victor; Benner, Peter; Sundmacher, Kai

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Learning reduced-order models for dynamic CO2 methanation using operator inference

Peterson, L., Bremer, J., Goyal, P. K., Gosea, I. V., Benner, P., & Sundmacher, K. (2024). Learning reduced-order models for dynamic CO2 methanation using operator inference. Talk presented at ESCAPE34 - PSE24. Florence, Italy. 2024-06-02 - 2024-06-06.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-17D4-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-17D5-8

Genre: Talk

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Creators:
Peterson, Luisa¹, Author
Bremer, Jens, Author
Goyal, Pawan Kumar², Author
Gosea, Ion Victor², Author
Benner, Peter², Author
Sundmacher, Kai^{1, 3}, Author

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Language(s): eng - English

Dates: Accepted: 2023

Publication Status: Accepted / In Press

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Rev. Type: Peer

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Title: ESCAPE34 - PSE24

Place of Event: Florence, Italy

Start-/End Date: 2024-06-02 - 2024-06-06

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