Uncertainty quantification for fluid-structure interaction, application to aortic biomechanics
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BiBTeXSEEK ID: https://publications.h-its.org/publications/347
Research Groups: Data Mining and Uncertainty Quantification
Publication type: Doctoral Thesis
Citation: Ruprecht-Karls-Universität Heidelberg 2018, 2018, Vincent Heuveline(Tutor)
Date Published: 2018
Registered Mode: imported from a bibtex file
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Created: 7th Sep 2019 at 12:08
Last updated: 5th Mar 2024 at 21:23
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Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
Public web page: Not specified
