Alloy modelling has a history of machine-learning-like approaches, preceding the tide of
data-science-inspired work. The dawn of computational databases has made the integration …

This review article highlights state-of-the-art data-driven techniques to discover, encode,
surrogate, or emulate constitutive laws that describe the path-independent and path …

Given their preponderance and propensity to initiate fatigue cracks, understanding the effect
of processing defects on fatigue life is a significant step towards the wider application of …

The mathematical description of elastoplasticity is a highly complex problem due to the
possible change from elastic to elasto-plastic behavior (and vice-versa) as a function of the …

It is well-known that conventional multiaxial fatigue life prediction models are generally
limited to specific materials and loading conditions. To remove this limitation, a novel attempt …

The development of machine learning (ML) provides a promising solution to guarantee the
structural integrity of critical components during service period. However, considering the …

Metamaterials can be designed to contain functional gradients with negative Poisson's ratio
(NPR) that have counterintuitive behavior compared with monolithic materials. These NPR …

FFT methods have become a fundamental tool in computational micromechanics since they
were first proposed in 1994 by Moulinec and Suquet for the homogenization of composites …

The overall, macroscopic constitutive behavior of most materials of technological importance
such as fiber-reinforced composites or polycrystals is very much influenced by the …

The propagation of small cracks contributes to the majority of the fatigue lifetime for structural
components. Despite significant interest, criteria for the growth of small cracks, in terms of …