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Hypermodelcomp

Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets

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/learn @tajtac/Hypermodelcomp
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Comparison of data-driven models of hyperelasticity

Benchmarking three recent methods in data-driven constitutive modeling of soft biological materials; Constitutive Artificial Neural Networks [github | paper], Input Convex Neural Networks [paper 1 | paper 2 | paper 3] and Neural ODEs [github | paper].

Tissue expansion using the NN based hyperelastic material model

View on GitHub
GitHub Stars16
CategoryDevelopment
Updated1mo ago
Forks3

Languages

Jupyter Notebook

Security Score

75/100

Audited on Feb 9, 2026

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