Daten-/Code-Publikationen des IBNM

Auf dieser Seite finden Sie eine Auflistung der Daten- und Code-Publikationen des Instituts.

 

Datenpublikationen

  • Phu Thien Nguyen, Yousef Heider, Dennis M. Kochmann, Fadi Aldakheel (2025): Deep learning-aided inverse design of porous metamaterials
    DOI: https://doi.org/10.25835/t799y2ji
  • Alberto Antonini, Yousef Heider, Giovanna Xotta, Valentina Salomoni, Fadi Aldakheel (2025): Computational multi-physics modeling of membranes in proton exchange membrane water electrolyzers
    DOI: https://doi.org/10.25835/5s3p3a8s
  • Alexandros Tragoudas, Marta Alloisio, Elsayed S Elsayed, T Christian Gasser, Fadi Aldakheel (2024): An Enhanced Deep Learning Approach for Vascular Wall Fracture Analysis
    DOI: https://doi.org/10.25835/weuhha72
  • Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers (2024): A multiscale CNN-based intrinsic permeability prediction in deformable porous media
    DOI: https://doi.org/10.25835/xrii0m6f

Codepublikationen

  • Phu Thien Nguyen, Yousef Heider, Dennis M. Kochmann, Fadi Aldakheel (2025): Deep learning-aided inverse design of porous metamaterials
    DOI: https://doi.org/10.25835/t799y2ji
  • Alexandros Tragoudas, Marta Alloisio, Elsayed S Elsayed, T Christian Gasser, Fadi Aldakheel (2024): An Enhanced Deep Learning Approach for Vascular Wall Fracture Analysis
    DOI: https://doi.org/10.25835/weuhha72
  • Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers (2024): A multiscale CNN-based intrinsic permeability prediction in deformable porous media
    DOI: https://doi.org/10.25835/xrii0m6f
  • Nima Noii, Amirreza Khodadadian, Jacinto Ulloa, Fadi Aldakheel, Thomas Wick, Stijn François, Peter Wriggers (2022): Bayesian inversion with open-source codes for various one-dimensional model problems in computational mechanics
    DOI: https://doi.org/10.5281/zenodo.6451941
  • Marlis Reiber, Fynn Bensel (2025): Finite element analysis of stem migration after total hip replacement
    DOI: https://doi.org/10.25835/vzeig34p