Machine learning aided multiscale magnetostatics

Author:

Aldakheel FadiORCID,Soyarslan CelalORCID,Palanisamy Hari Subramani,Elsayed Elsayed Saber

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Mechanics of Materials,General Materials Science,Instrumentation

Reference67 articles.

1. Simulation of Fracture Processes using Global-Local Approach and Virtual Elements;Aldakheel,2021

2. A global-local approach for hydraulic phase-field fracture in poroelastic media;Aldakheel;Comput. Math. Appl.,2020

3. Feed-forward neural networks for failure mechanics problems;Aldakheel;Appl. Sci.,2021

4. A mechanics-informed artificial neural network approach in data-driven constitutive modeling;As’ ad;Internat. J. Numer. Methods Engrg.,2022

5. A kd-tree-accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data;Bahmani;Comput. Methods Appl. Mech. Engrg.,2021

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