The motion of dislocations governs the plastic deformation of crystalline materials, which in
turn determines the mechanical properties. The complex thermal history, large temperature …

This work develops an extension of the Data-Driven Computational Mechanics approach
introduced by Kirchdoerfer and Ortiz (2016) to history-dependent behaviour. The material …

Three-dimensional dislocation networks control the mechanical properties such as strain
hardening of crystals. Due to the complexity of dislocation networks and their temporal …

This work presents the development of a crystal plasticity material model that incorporates
both dislocation transport within grains and dislocation transfer across grain boundaries …

Progress toward a first-principles theory of plasticity and work hardening is currently
impeded by an insufficient description of dislocation kinetics, that is, of the dynamic effect of …

We present a computational algorithm for solving the recently developed finite-deformation
continuum dislocation dynamics theory of mesoscale plastic deformation of single crystals …

Several computational models have been introduced in recent years to yield comprehensive
insights into microstructural evolution analyses. However, the identification of the correct …

Since crystal plasticity is the result of moving and interacting dislocations, it seems self-
evident that continuum plasticity should in principle be derivable as a statistical continuum …

Detecting structure in data is the first step to arrive at meaningful representations for
systems. This is particularly challenging for evolving dislocation networks evolving as a …

A first-principles theory of plasticity in metals currently does not exist. While many plasticity
models make reference to rules based on heuristic arguments regarding dislocations (the …