The native human heart valve leaflet contains a layered microstructure comprising a
hierarchical arrangement of collagen, elastin, proteoglycans and various cell types. Here …

Heart valves are characterized to be highly flexible yet tough, and exhibit complex
deformation characteristics such as nonlinearity, anisotropy, and viscoelasticity, which are …

This paper provides a review of engineering applications and computational methods used
to analyze the dynamics of heart valve closures in healthy and diseased states …

Physics-constrained data-driven computing is an emerging computational paradigm that
allows simulation of complex materials directly based on material database and bypass the …

Data-driven modeling directly utilizes experimental data with machine learning techniques
to predict a material's response without the necessity of using phenomenological constitutive …

Human tissues are highly organized structures with collagen fiber arrangements varying
from point to point. Anisotropy of the tissue arises from the natural orientation of the fibers …

The facilitation of proper blood flow through the heart depends on proper function of heart
valve components, and alterations to any component can lead to heart disease or failure …

The tricuspid valve ensures unidirectional blood flow from the right atrium to the right
ventricle. The three tricuspid leaflets operate within a dynamic stress environment of shear …

Approximately 1.6 million patients in the United States are affected by tricuspid valve
regurgitation, which occurs when the tricuspid valve does not close properly to prevent …

We present a data-driven workflow to biological tissue modeling, which aims to predict the
displacement field based on digital image correlation (DIC) measurements under unseen …