The efficacy of vibrational excitation for reaction promotion
can
be well-described by the Fridman–Macheret (F–M) α-model,
which was initially developed for processes in the gas phase. However,
it is widely used for analysis of the efficacy of vibrational excitation
of heterogeneous processes, such as NH3 synthesis, reduction
of CO2, and activation of CH4. For plasma-assisted
heterogeneous processes, the contribution of species with high vibrational
excitation into reaction is emphasized. The aim of this paper is to
check the applicability of the F–M model for the case of activation
of the N2 molecule on the Ru(113) and Ru(0001) surfaces
using molecular dynamics with machine learning potential (MLP). The
results show that the F–M model appears to be a reasonable
approximation for estimate of vibrational efficacy of highly excited
states (v ≥ 7) which are important under nonequilibrium
plasma conditions.