This review article highlights state-of-the-art data-driven techniques to discover, encode,
surrogate, or emulate constitutive laws that describe the path-independent and path …

In the framework of solid mechanics, the task of deriving material parameters from
experimental data has recently re-emerged with the progress in full-field measurement …

Data-driven constitutive modeling with neural networks has received increased interest in
recent years due to its ability to easily incorporate physical and mechanistic constraints and …

Artificial meat is an eco-friendly alternative to real meat that is marketed to have a similar
taste and feel. The mechanical properties of artificial meat significantly influence our …

Applications of soft materials are customarily linked to complex deformation scenarios and
material nonlinearities. In the bioengineering field, soft materials typically mimic the low …

We combine the rate-formulation for the objective, corotational Zaremba-Jaumann
rate\begin {align}\frac {{\rm D}^{\rm ZJ}}{{\rm D} t}[\sigma]=\mathbb {H}^{\rm ZJ}(\sigma) …

Background: The recent development of Physics-Augmented Neural Networks (PANN)
opens new opportunities for modeling material behaviors. These approaches have …

The automated discovery of constitutive laws forms an emerging research area, that focuses
on automatically obtaining symbolic expressions describing the constitutive behavior of solid …

Many blood vessels exist in brain tissue. Their internal blood pressure plays a crucial role in
physiological disorders, such as brain edema, stroke, or traumatic brain injury (concussion) …

This paper discusses the problem of macroscopic modeling a knitted technical fabric with
the aim to determine a constitutive law for adequately modeling the material response under …