Gradient grained metals whose microstructure is characterized by a spatially graded grain
size distribution show a better strength-ductility combination than their homogeneous …

Abstract Recurrent Neural Network (RNN) based surrogate models constitute an emerging
class of reduced order models of history-dependent material behavior. Recently, the authors …

This paper presents a multi-scale modelling approach to investigate the underpinning
mechanisms of microstructure-sensitive damage of single crystal Sn-3Ag-0.5 Cu (wt …

Limited tensile ductility usually restricts the practical applications of new classes of high-
strength materials in many industrial fields. Therefore, in-depth understanding of the work …

Cyclic responses of a novel heat resistant martensitic steel, 9Cr3Co3W1CuVNbB steel,
under different loading modes were studied to reveal its complex strengthening mechanisms …

An analytic model of the evolution of dislocation density in fcc polycrystals is described. The
evolution equations approximately account for most known dislocation storage, dynamic …

Strain gradients have been cast in the form of geometrically-necessary dislocations (GND) to
relate the length-scale dependence of strength and to determine potential sites for failure …

In this study, we produced both homogeneous and heterogeneous-structured 316L
austenitic stainless steels (SSs), each exhibiting comparable levels of yield strength (YS) …

In this work, we have developed a temperature-dependent, multi-mechanism crystal
plasticity (CP) model aimed at unravelling the deformation and failure resistance of Cantor …

Circular holes in single crystal (SX) turbine blades are susceptible to creep failure at high
temperatures, due to the stress concentrations near the holes. In this study, a dislocation …