Publikationen des FG KI in der Mechanik

Deep learning-aided inverse design of porous metamaterials

PT Nguyen, Y Heider, DM Kochmann, F Aldakheel

Computer Methods in Applied Mechanics and Engineering 449 (11849), 118499

A Study on Cross-Applicability and Potential of Machine Learning Tools in Hip and Dental Biomechanics

F Aldakheel, Y Heider, M Haertlé, P Wriggers, HJ Maier, M Stiesch

Advances and Challenges in Computational Mechanics, 1-15

Physics-based machine learning for computational fracture mechanics

F Aldakheel, ES Elsayed, Y Heider, O Weeger

Machine Learning for Computational Science and Engineering 1 (1), 18

Computational multi-physics modeling of membranes in proton exchange membrane water electrolyzers

A Antonini, Y Heider, G Xotta, V Salomoni, F Aldakheel

Computer Methods in Applied Mechanics and Engineering 441, 117974

A multiscale CNN-based intrinsic permeability prediction in deformable porous media

Y Heider, F Aldakheel, W Ehlers

Applied Sciences 15 (5), 2589