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Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLIDFlaschel, Moritz (author), Yu, Huitian (author), Reiter, Nina (author), Hinrichsen, Jan (author), Budday, Silvia (author), Steinmann, Paul (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)We propose an automated computational algorithm for simultaneous model selection and parameter identification for the hyperelastic mechanical characterization of biological tissue and validate it on experimental data stemming from human brain tissue specimens. Following the motive of the recently proposed computational framework EUCLID ...journal article 2023
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Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)We propose a new approach for data-driven automated discovery of isotropic hyperelastic constitutive laws. The approach is unsupervised, i.e., it requires no stress data but only displacement and global force data, which are realistically available through mechanical testing and digital image correlation techniques; it delivers interpretable...journal article 2021