Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials
%0 Journal Article
%1 Fern_ndez_2021
%A Fernández, Mauricio
%A Fritzen, Felix
%A Weeger, Oliver
%D 2021
%I Wiley
%J International Journal for Numerical Methods in Engineering
%K imported
%N 2
%P 577--609
%R 10.1002/nme.6869
%T Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials
%U https://doi.org/10.1002%2Fnme.6869
%V 123
@article{Fern_ndez_2021,
added-at = {2023-09-22T13:21:00.000+0200},
author = {Fern{\'{a}}ndez, Mauricio and Fritzen, Felix and Weeger, Oliver},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b190b1444d06b84e1dc9e6cd0147582e/ffritzen},
doi = {10.1002/nme.6869},
interhash = {61b28aef10a04b176f88a8232ee3deab},
intrahash = {b190b1444d06b84e1dc9e6cd0147582e},
journal = {International Journal for Numerical Methods in Engineering},
keywords = {imported},
month = nov,
number = 2,
pages = {577--609},
publisher = {Wiley},
timestamp = {2023-09-22T13:21:00.000+0200},
title = {Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials},
url = {https://doi.org/10.1002%2Fnme.6869},
volume = 123,
year = 2021
}
