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  Towards Machine Learning of Power-2-Methanol Processes

Martensen, C., Plate, C., Keßler, T., Kunde, C., Kaps, L., Kienle, A., et al. (2023). Towards Machine Learning of Power-2-Methanol Processes. In A. Kokossis, M. C. Georgiadis, & E. Pistikopoulos (Eds.), 33rd European Symposium on Computer Aided Process Engineering (pp. 561-568). Amsterdam/Netherlands: Elsevier.

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Genre: Conference Paper

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 Creators:
Martensen, CJ1, Author
Plate, Christoph1, Author
Keßler, Tobias2, Author
Kunde, Christian3, Author           
Kaps, Lothar4, Author           
Kienle, Achim2, 3, Author           
Seidel-Morgenstern, Andreas4, 5, Author                 
Sager, Sebastian1, Author
Affiliations:
1Institute of Mathematical Optimization, Otto-von-Guericke University, Universitätsplatz 2, Magdeburg, 39106, Germany, ou_persistent22              
2Institute for Automation Engineering, Otto-von-Guericke University, Universitätsplatz 2, Magdeburg, 39106, Germany, ou_persistent22              
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              
5Institute of Process Engineering, Otto-von-Guericke University, Universitätsplatz 2, Magdeburg, 39106, Germany, ou_persistent22              

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Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: 33rd European Symposium on Computer Aided Process Engineering
Place of Event: Athen, Greece
Start-/End Date: 2023-06-18 - 2023-06-21

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Title: 33rd European Symposium on Computer Aided Process Engineering
Source Genre: Proceedings
 Creator(s):
Kokossis, Antonios, Editor
Georgiadis, Michael C., Editor
Pistikopoulos, Efstratios, Editor
Affiliations:
-
Publ. Info: Amsterdam/Netherlands : Elsevier
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 561 - 568 Identifier: ISBN: 978-0-443-15274-0

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Title: Computer Aided Chemical Engineering
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 52 Sequence Number: - Start / End Page: - Identifier: ISSN: 1570-7946