  Single-walled carbon nanotubes exist in a variety of different geometries,
so-called chiralities, that define their electronic properties. Chiral
selectivity has been reported in catalytic chemical vapor deposition synthesis
experiments, but the underlying mechanisms remain poorly understood. In this
contribution, we establish a simple model for the prediction of the growth
rates of carbon nanotubes of different chiralities, as a function of energies
characterizing the carbon nanotube-catalyst interface and of parameters of the
synthesis. The model is sampled efficiently using kinetic Monte Carlo
simulations in the semi-grand canonical ensemble, uncovering the interplay of
the external experimental conditions and the configuration and energetics of
the interface with the catalyst. In particular, the distribution of chiral
angle dependent growth rates follows non-monotonic trends as a function of
interface energies. We analyze this behavior and use it to identify conditions
that lead to high selectivity for a variety of chiral angles.
