Concentration Dependences of Charge Transfer and the Kinetics of Monte Carlo Modeling of the Growth of 2D Mono- and Nanocrystals of Gallium Chalcogenides

• Published in: Russian microelectronics 2021-11, Vol.50 (6), p.452-462
• Main Authors: Asadov, S. M., Mustafaeva, S. N., Lukichev, V. F., Kelbaliev, K. I.
• Format: Article
• Language: English
• Subjects: Charge transfer; Composition effects; Crystallization; Crystallography; Distribution functions; Electrical Engineering; Engineering; Frequency ranges; Gallium; Kinetic equations; Kinetics; Monte Carlo simulation; Nanocrystals; Nanoparticles; Physical properties; Selenium; Single crystals; Solid solutions; Superhigh frequencies; Two dimensional models
• ISSN: 1063-7397; 1608-3415
• DOI: 10.1134/S1063739721060032

The results are presented on the growth of 2D single and nanocrystals based on gallium monosulfide (monoselenide), the physicochemical study of samples, and Monte Carlo modeling of the kinetics of the colloidal crystallization of nanoparticles with two different sizes. The effect of the composition of single crystals of GaS x Se 1 – x solid solutions is studied for conductivity on alternating current in the frequency range 5 × 10 4 –3.5 × 10 7 Hz. It is shown that with an increase in the selenium concentration in GaS x Se 1 – x single crystals the AC conductivity increases significantly. In GaS x Se 1 – x samples a hopping mechanism of charge transfer over states localized near the Fermi level is discovered. Important physical parameters of the localized states in the GaS x Se 1 – x band gap are estimated. It is found that colloidal nanoparticles based on gallium sulfide (selenide) in an amine solution grow towards the crystallographic c -axis of the crystal. Using the two-component kinetic equation by the Monte Carlo method, the evolution of the distribution function of the obtained nanoparticles based on gallium monosulfide (monoselenide) is approximated by size. The results of modeling nonlinear crystallization processes are consistent with our numerical and experimental data, as well as with the evolutionary dependences of similar processes for the synthesis of nanoparticles.