Reference : Data-driven constitutive laws for hyperelasticity in principal space using symbolic r...
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/47290
Data-driven constitutive laws for hyperelasticity in principal space using symbolic representations of Pytorch ANNs in FEniCS
English
Chau, Minh Vu mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
21-May-2021
A1
No
International
DTU DRIVEN Colloquium
21-05-2021
Andreas Zilian
Esch-sur-Alzette
Luxembourg
[en] Artificial Neural Network ; Computational data-driven ; Principal space
Fonds National de la Recherche - FnR
DRIVEN
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/47290
FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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