TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Physics-informed neural networks based processing of CFD data for predictions of propeller blade pressure distributions
 
Options

Physics-informed neural networks based processing of CFD data for predictions of propeller blade pressure distributions

Citation Link: https://doi.org/10.15480/882.16056
Publikationstyp
Conference Poster not in Proceedings
Date Issued
2025-09
Sprache
English
Author(s)
Strecker, Maike  orcid-logo
Fluiddynamik und Schiffstheorie M-8  
Abdel-Maksoud, Moustafa  orcid-logo
Fluiddynamik und Schiffstheorie M-8  
TORE-DOI
10.15480/882.16056
TORE-URI
https://hdl.handle.net/11420/58321
Citation
11th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry, GACM 2025
Contribution to Conference
11th GACM Colloquium on Computational Mechanics for Young Scientists from Academia and Industry, GACM 2025  
Subjects
Physics-informed neural networks
machine learning
propeller design
DDC Class
623: Military Engineering and Marine Engineering
530.42: Fluid Physics
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
Publication version
publishedVersion
Loading...
Thumbnail Image
Name

250920_GACM_Poster_BLAU.pdf

Size

4.47 MB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback