English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Talk

Enhancing superstructure optimization via embedded neural networks in optimal process design for sustainable aviation fuel (SAF) production

MPS-Authors
/persons/resource/persons270455

Klimek,  Alexander
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons292887

Ganzer,  Caroline
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86497

Sundmacher,  Kai       
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Klimek, A., Ganzer, C., & Sundmacher, K. (2024). Enhancing superstructure optimization via embedded neural networks in optimal process design for sustainable aviation fuel (SAF) production. Talk presented at ESCAPE34. Florence, Italy. 2024-06-02 - 2024-06-06.


Cite as: https://hdl.handle.net/21.11116/0000-000F-FE61-6
Abstract
There is no abstract available