Advancements in computing power have recently made it possible to utilize machine
learning and deep learning to push scientific computing forward in a range of disciplines …

Abstract 3D/4D printing offers significant flexibility in manufacturing complex structures with
a diverse range of mechanical responses, while also posing critical needs in tackling …

Spiking neural networks (SNN), also often referred to as the third generation of neural
networks, carry the potential for a massive reduction in memory and energy consumption …

Architected materials typically rely on regular periodic patterns to achieve improved
mechanical properties such as stiffness or fracture toughness. Here we introduce a class of …

Inverse mechanical parameter identification enables the characterization of ultrasoft
materials, for which it is difficult to achieve homogeneous deformation states. However, this …

Liquid crystal elastomers (LCEs) are responsive materials that can undergo large reversible
deformations upon exposure to external stimuli, such as electrical and thermal fields …

This paper presents results and convergence study of the Global–Local Iterative Coupling
through the implementation in the commercial software Abaqus making use of the co …

Numerical modelling of adhesive composites in wind energy is complicated in part due to
material heterogeneity. Microstructural CT scan fibre composite patterns or representative …

Democratized mechanical testing offers a promising solution for enabling the widespread
adoption of recycled and renewably sourced feedstocks. Locally sourced, sustainable …