AI-aided, incremental numerical approach for fi nite strain poroelasticity: On the brain tissue deformation

Reference : AI-aided, incremental numerical approach for fi nite strain poroelasticity: On the br...


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Civil engineering Engineering, computing & technology : Materials science & engineering Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/47314

Title :	AI-aided, incremental numerical approach for fi nite strain poroelasticity: On the brain tissue deformation
Language :	English
Author, co-author :	Dehghani, Hamidreza [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Zilian, Andreas [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	21-May-2021
Number of pages :	12
Peer reviewed :	No
Event name :	SIAM Conference on Mathematical Aspects of Materials Science
Event date :	from 17-05-2021 to 28-05-2021
Funders :	Luxembourg Ministry of Economy (MECO)
Name of the research project :	CDE-Hub (FEDER 2018-04-024)
Permalink :	http://hdl.handle.net/10993/47314
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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