Kinetic broadening of size distribution in terms of natural versus invariant variables

We study theoretically the size distributions of nanoparticles (islands, droplets, nanowires) whose time evolution obeys the kinetic rate equations with size-dependent condensation and evaporation rates. Different effects are studied which contribute to the size distribution broadening, including kinetic fluctuations, evaporation, nucleation delay, and size-dependent growth rates. Under rather general assumptions, an analytic form of the size distribution is obtained in terms of the natural variable s which equals the number of monomers in the nanoparticle. Green's function of the continuum rate equation is shown to be Gaussian, with the size-dependent variance. We consider particular examples of the size distributions in either linear growth systems (at a constant supersaturation) or classical nucleation theory with pumping (at a time-dependent supersaturation) and compare the spectrum broadening in terms of s versus the invariant variable. for which the regular growth rate is size independent. For the growth rate scaling with s as sa (with the growth index a between 0 and 1), the size distribution broadens for larger a in terms of s, while it narrows with a if presented in terms of.. We establish the conditions for obtaining a time-invariant size distribution over a given variable for different growth laws. This result applies for a wide range of systems and shows how the growth method can be optimized to narrow the size distribution over a required variable, for example, the volume, surface area, radius or length of a nanoparticle. An analysis of some concrete growth systems is presented from the viewpoint of the obtained results.

Automated summary

This study theoretically explores the size distributions of nanoparticles, demonstrating a correlation between size distribution and the natural variable s. The Green's function is shown to be Gaussian, with size-dependent variance. Different growth systems exhibit varying size distributions under different levels of supersaturation. The study also establishes conditions for obtaining a time-invariant distribution under different growth laws.