Elsayed Saber Elsayed Ibrahiem Elsayed, M. Sc.
Elsayed Saber Elsayed Ibrahiem Elsayed, M. Sc.
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Appelstraße 9a
30167 Hannover
30167 Hannover
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Elsayed Saber Elsayed Ibrahiem Elsayed, M. Sc.
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Forschungsprojekt
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Physics-augmented machine learning for computational fracture mechanicsLeitung: Prof. Dr.-Ing. Fadi AldakheelTeam:Jahr: 2023
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(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
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(2023): Efficient multiscale modeling of heterogeneous materials using deep neural networks, Springer Berlin Heidelberg, Computational Mechanics, Vol. 72, 155-171 Weitere Informationen
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(2023): Machine learning aided multiscale magnetostatics, Sciencedirect, Mechanics of Materials, Vol. 184, 104726 Weitere Informationen