Abstract Machine learning (ML) has evolved as a technology used in even broader domains,
ranging from spam detection to space exploration, as a result of the boom in available data …

The mathematical formulation of constitutive models to describe the path‐dependent, that is,
inelastic, behavior of materials is a challenging task and has been a focus in mechanics …

During the last few decades, industries such as aerospace and wind energy (among others)
have been remarkably influenced by the introduction of high-performance composites. One …

Multiscale FE 2 computations enable the consideration of the micro-mechanical material
structure in macroscopical simulations. However, these computations are very time …

Zirconium alloys are critical material components of systems subjected to harsh
environments such as high temperatures, irradiation, and corrosion. When exposed to water …

Local-nonlocal coupling approaches combine the computational efficiency of local models
and the accuracy of nonlocal models. However, the coupling process is challenging …

Simulating the mechanical response of advanced materials can be done more accurately
using concurrent multiscale models than with single-scale simulations. However, the …

The significant risk associated with fault reactivation often necessitates slip tendency
analyses for effective risk assessment. However, such analyses are challenging, particularly …

Composite materials, valued for their adaptability, face challenges associated with
degradation over time. Characterising their durability through traditional experimental …

The morphology of nanostructured materials exhibiting a polydisperse porous space, such
as aerogels, is very open porous and fine grained. Therefore, a simulation of the …