  Plastic deformation of metals involves the complex evolution of dislocations
forming strongly connected dislocation networks. These dislocation networks are
based on dislocation reactions, which can form junctions during the
interactions of different slip systems. Extracting the fundamentals of the
network behaviour during plastic deformation by adequate physically based
theories is essential for crystal plasticity models. In this work, we
demonstrate how knowledge from discrete dislocation dynamics simulations to
continuum-based formulations can be transferred by applying a physically based
dislocation network evolution theory. By using data-driven methods, we validate
a slip system dependent rate formulation of network evolution. We analyze
different discrete dislocation dynamics simulation data sets of face-centred
cubic single-crystals in high symmetric and non-high symmetric orientations
under uniaxial tensile loading. Here, we focus on the reaction evolution during
stage II plastic deformation. Our physically based model for network evolution
depends on the plastic shear rate and the dislocation travel distance described
by the dislocation density. We reveal a dependence of the reaction kinetics on
the crystal orientation and the activity of the interacting slip systems, which
can be described by the Schmid factor. It has been found, that the generation
of new reaction density is mainly driven by active slip systems. However, the
deposition of generated reaction density is not necessarily dependent on the
slip system activity of the considered slip system, i.e. we observe a
deposition of reaction density on inactive slip systems especially for glissile
and coplanar reactions.
