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Capturing Regional Variation in Aortic Mechanics: Dual-Estimation Method for Material Parameter Identification and Microstructural Correlation

Year: 2025

Type: article

Abstract: A Python library for solving mixed va`riational problems with multiple fields, specifically designed for fitting hyperelastic material models (like the Holzapfel-Gasser-Ogden model) to experimental data from extension tests, such as those performed using an Instron machineused for publishing `Capturing Regional Variation in Aortic Mechanics: Dual-Estimation Method for Material Parameter Identification and Microstructural Correlation` Manuscript

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17849405

Authors: Doll Lahuerta, Ricardo, Cestari, Idagene

Institutions: Universidade de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Instituto do Coração - HCFMUSP

Language: English

Topic: Elasticity and Material Modeling

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7110250884

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