Towards Machine Learning of Power-2-Methanol Processes

Martensen, Carl Julius; Plate, Christoph; Keßler, Tobias; Kunde, Christian; Kaps, Lothar; Kienle, Achim; Seidel-Morgenstern, Andreas; Sager, Sebastian

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Towards Machine Learning of Power-2-Methanol Processes

Martensen, C. J., Plate, C., Keßler, T., Kunde, C., Kaps, L., Kienle, A., et al. (2023). Towards Machine Learning of Power-2-Methanol Processes. Poster presented at ESCAPE33 – 33rd European Symposium on Computer-Aided Process Engineering, Athens, Greece.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-25D4-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-25D5-8

Genre: Poster

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Creators:
Martensen, Carl Julius^{1, 2}, Author
Plate, Christoph², Author
Keßler, Tobias², Author
Kunde, Christian³, Author
Kaps, Lothar⁴, Author
Kienle, Achim^{2, 3}, Author
Seidel-Morgenstern, Andreas², Author
Sager, Sebastian^{2, 5}, Author

Affiliations:
1International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156
3Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153
4Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738150
5Max Planck Fellow Group for Mathematical Optimization and Machine Learning, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_3531912

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Language(s): eng - English

Dates: Created: 2023

Publication Status: Not specified

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Rev. Type: Peer

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Title: ESCAPE33 – 33rd European Symposium on Computer-Aided Process Engineering

Place of Event: Athens, Greece

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

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