Fhcnnbio: a fiber-reinforced hyperelastic constitutive neural network model for biological tissues with prior physical information

Abstract Accurate constitutive model for biological soft tissue deformation poses significant challenges, particularly under large deformations, crucial for applications in computer-assisted surgical intervention and biomedical engineering. Expert-constructed models are are typically developed with...

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Auteurs principaux:	Dongliang Tan, Huamin Yang, Weili Shi, Jun Qin, Feng Qu, Wei He, Yu Miao, Zhengang Jiang
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2025-09-01
Collection:	Complex & Intelligent Systems
Sujets:	Physics-informed neural networks Constitutive modeling Nonlinear mechanics Biological tissues Artificial intelligence Anisotropic hyperelasticity
Accès en ligne:	https://doi.org/10.1007/s40747-025-02071-9
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