Since the beginning of the industrial age, material performance and design have been in the
midst of innovation of many disruptive technologies. Today's electronics, space, medical …

The unique mechanical, electrical, thermal, chemical and optical properties of carbon based
nanomaterials (CBNs) like: Fullerenes, Graphene, Carbon nanotubes, and their derivatives …

This article focuses on computational multiscale methods for the mechanical response of
nonlinear heterogeneous materials. After a short historical note, a brief overview is given of …

Material behavior and microstructure geometries at small scales strongly influence the
physical behavior at higher scales. For example, defects like cracks and dislocations evolve …

A new manifold-based reduced order model for nonlinear problems in multiscale modeling
of heterogeneous hyperelastic materials is presented. The model relies on a global …

In this study, a deep learning framework for multiscale finite element analysis (FE 2) is
proposed. To overcome the inefficiency of the concurrent classical FE 2 method induced by …

Finite element methods (FEM) are popular approaches for simulation of soft tissues with
elastic or viscoelastic behavior. However, their usage in real-time applications, such as in …

In this paper, we present new reliable model order reduction strategies for computational
micromechanics. The difficulties rely mainly upon the high dimensionality of the parameter …

In this work, the feasibility of applying a digital twin combined with machine learning
algorithms (convolutional neural network and random forest classifier) to predict the …

Soft tissues—such as ligaments and tendons—primarily consist of solid (collagen,
predominantly) and liquid phases. Understanding the interaction between such components …