Elsayed Saber Elsayed Ibrahiem Elsayed, M. Sc.

Photo of Elsayed Saber Elsayed Ibrahiem Elsayed Photo of Elsayed Saber Elsayed Ibrahiem Elsayed
Elsayed Saber Elsayed Ibrahiem Elsayed, M. Sc.
Adresse
Appelstraße 9a
30167 Hannover
Gebäude
Raum
126
Photo of Elsayed Saber Elsayed Ibrahiem Elsayed Photo of Elsayed Saber Elsayed Ibrahiem Elsayed
Elsayed Saber Elsayed Ibrahiem Elsayed, M. Sc.
Adresse
Appelstraße 9a
30167 Hannover
Gebäude
Raum
126

Forschungsprojekt

  • Alexandros Tragoudas, Marta Alloisio, Elsayed S Elsayed, T Christian Gasser, Fadi Aldakheel (2024): An enhanced deep learning approach for vascular wall fracture analysisArchive of Applied Mechanics, Pages 1-14 Weitere Informationen
    DOI: https://doi.org/10.1007/s00419-024-02589-3
  • Julien Philipp Stöcker, Elsayed Saber Elsayed, Fadi Aldakheel, Michael Kaliske (2023): FE‐NN: Efficient‐scale transition for heterogeneous microstructures using neural networksPAMM, e202300011 Weitere Informationen
  • Fadi Aldakheel, Elsayed S Elsayed, Tarek I Zohdi, Peter Wriggers (2023): Efficient multiscale modeling of heterogeneous materials using deep neural networksSpringer Berlin Heidelberg, Computational Mechanics, Vol. 72, 155-171 Weitere Informationen
  • Fadi Aldakheel, Celal Soyarslan, Hari Subramani Palanisamy, Elsayed Saber Elsayed (2023): Machine learning aided multiscale magnetostaticsSciencedirect, Mechanics of Materials, Vol. 184, 104726 Weitere Informationen