The accelerating rate at which new materials are appearing, and transforming the
engineering world, only serves to emphasize the vast potential for novel material structure …

This paper addresses an important materials engineering question: How can one identify
the complete space (or as much of it as possible) of microstructures that are theoretically …

For every class of polycrystalline materials, the scientific study of grain boundaries as well as
the increasingly widespread practice of grain boundary engineering rely heavily on visual …

Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …

Computationally efficient structure-property (SP) linkages (ie, reduced order models) are a
necessary key ingredient in accelerating the rate of development and deployment of …

A three-dimensional computational framework has been developed combining a crystal
plasticity (CP) and a phase-field (PF) approach that can efficiently simulate static …

Проблема построения конститутивных моделей, позволяющих описывать поведение
материалов в широких диапазонах изменения параметров воздействия (температур …

Recent works have demonstrated the viability of convolutional neural networks (CNN) for
capturing the highly non-linear microstructure-property linkages in high contrast composite …

The study of microstructure and its relation to properties and performance is the defining
concept in the field of materials science and engineering. Despite the paramount importance …

Materials design calls for an optimal exploration and exploitation of the process-structure-
property (PSP) relationships to produce materials with targeted properties. Recently, we …