Besides the well-known landmark models for the hyperelastic response of rubberlike
materials, many new hyperelastic constitutive models have emerged over the last decade …

Constitutive models are important to biomechanics for two key reasons. First, constitutive
modelling is an essential component of characterizing tissues' mechanical properties for …

In the present work, a hyperelastic constitutive model based on neural networks is proposed
which fulfills all common constitutive conditions by construction, and in particular, is …

To advance the field of soft robotics, a unified database of material constitutive models and
experimental characterizations is of paramount importance. This will facilitate the use of …

In the present work, two machine learning based constitutive models for finite deformations
are proposed. Using input convex neural networks, the models are hyperelastic, anisotropic …

This monograph presents a general mathematical theory for biological growth. It provides
both a conceptual and a technical foundation for the understanding and analysis of …

A highly stretchable, low-cost strain sensor was successfully prepared using an extremely
cost-effective ionic liquid of ethylene glycol/sodium chloride. The hysteresis performance of …

The mechanical response of a homogeneous isotropic linearly elastic material can be fully
characterized by two physical constants, the Young's modulus and the Poisson's ratio, which …

This work presents a comprehensive open‐source simulation and design tool for Soft
pneumatic actuators (SPAs) using finite element method, compatible and extensible to a …

Sparse regression and feature extraction are the cornerstones of knowledge discovery from
massive data. Their goal is to discover interpretable and predictive models that provide …