Funktion
Elsayed Saber Elsayed Ibrahiem Elsayed
![Photo of Elsayed Saber Elsayed Ibrahiem Elsayed](/typo3temp/assets/_processed_/e/5/csm_dc115fca04f32a6183da1b2bc4af39869396e108-fp-3-2-0-0_d1c473ed30.jpg)
![Photo of Elsayed Saber Elsayed Ibrahiem Elsayed](/typo3temp/assets/_processed_/e/5/csm_dc115fca04f32a6183da1b2bc4af39869396e108-fp-3-2-0-0_32c49d28ff.jpg)
Elsayed Saber Elsayed Ibrahiem Elsayed
Telefon
Adresse
Appelstraße 9a
30167 Hannover
30167 Hannover
Gebäude
Raum
![Photo of Elsayed Saber Elsayed Ibrahiem Elsayed](/typo3temp/assets/_processed_/e/5/csm_dc115fca04f32a6183da1b2bc4af39869396e108-fp-3-2-0-0_d1c473ed30.jpg)
![Photo of Elsayed Saber Elsayed Ibrahiem Elsayed](/typo3temp/assets/_processed_/e/5/csm_dc115fca04f32a6183da1b2bc4af39869396e108-fp-3-2-0-0_32c49d28ff.jpg)
Elsayed Saber Elsayed Ibrahiem Elsayed
Wissenschaftliche Mitarbeiterinnen und Mitarbeiter
Institut für Baumechanik und Numerische Mechanik
Forschungsprojekt
-
Physics-augmented machine learning for computational fracture mechanicsLeitung: Prof. Dr.-Ing. Fadi AldakheelTeam:Jahr: 2023
-
(2024): An enhanced deep learning approach for vascular wall fracture analysis, Archive of Applied Mechanics, Pages 1-14 Weitere Informationen
DOI: https://doi.org/10.1007/s00419-024-02589-3 -
(2023): FE‐NN: Efficient‐scale transition for heterogeneous microstructures using neural networks, PAMM, e202300011 Weitere Informationen
-
(2023): Efficient multiscale modeling of heterogeneous materials using deep neural networks, Springer Berlin Heidelberg, Computational Mechanics, Vol. 72, 155-171 Weitere Informationen
-
(2023): Machine learning aided multiscale magnetostatics, Sciencedirect, Mechanics of Materials, Vol. 184, 104726 Weitere Informationen