We compare two machine-learning-based approaches, artificial neural network (ANN) and
micromechanical model with automatic Bayesian identification of the model parameters, in …

A micromechanical model of metal powder compaction is developed as a generalization of
the previous model proposed by Mayer et al.(2020). The model is applicable for an arbitrary …

A mechanical model of a metal nanopowder compaction is proposed. It takes into account
the change in the shape of nanoparticles during mutual indentation, the action of surface …

In this paper, we have performed a microstructurally-informed finite element analysis on the
effect of porosity on the formation of multiple necks and fragments in ductile thin rings …

Construction of the mechanical model for dynamic tensile (spall) fracture is one of the
cornerstone problems in the mechanical description of the material behavior under dynamic …

In this paper the initial stage of nanovoids growth in monocrystal aluminum is studied with
molecular dynamics simulations. The dependencies of critical negative pressure in …

Microtomographic devices have limited imaging accuracy and are often insufficient for
proper mapping of small details of real objects (eg elements of material mesostructures) …

In this paper, an atomistic–continuum homogenization multiscale method is developed to
study the nonlinear behavior of heterogeneous nanomaterials. The atomistic representative …

We study the mechanical behavior of nanoporous gold under uniaxial compression and
strain rates in the range of 10 7–10 9 s− 1 using molecular dynamics simulations. We …

A technique has been developed for the use of artificial neural networks to describe the
nonlinear relationship between the components of stresses and strains (tensor equation of …