The two fundamental concepts of materials theory, pseudo potentials and the assumption of
a multiplicative decomposition, allow a general description of inelastic material behavior …

The ability to automatically discover interpretable mathematical models from data could
forever change how we model soft matter systems. For convex discovery problems with a …

In the field of material modeling, there is a general trend to include more and more complex
phenomena in the modeling, making the models' theoretical derivation and numerical …

Damage in soft biological tissues causes an inflammatory reaction that initiates a chain of
events to repair the tissue. This work presents a continuum model and its in silico …

We present a built-in physics neural network architecture, known as inelastic Constitutive
Artificial Neural Network (iCANN), to discover the inelastic phenomenon of tensional …

Introduction Coronary artery disease (CAD) remains a significant global health challenge,
with percutaneous coronary intervention (PCI) being a primary revascularization method. In …

This work presents the application of a chemo-mechano-biological constitutive model of soft
tissues for describing tissue inflammatory response to damage in collagen constituents. The …

Persistence of the pathology of in-stent restenosis even with the advent of drug-eluting
stents warrants the development of highly resolved in silico models. These computational …

The development of tissue-engineered cardiovascular implants can improve the lives of
large segments of our society who suffer from cardiovascular diseases. Regenerative …

Today's living world is enriched with a myriad of natural biological designs, shaped by
billions of years of evolution. Unraveling the construction rules of living organisms offers the …