Analytical–Monte Carlo model of the growth of In nanostructures during droplet epitaxy on the triangle-patterned GaAs substrates
- 1. Department of Nanotechnologies and Microsystems, Southern Federal University, Taganrog 347922 (Russian Federation)
- 2. Research and Education Center "Nanotechnologies", Southern Federal University, Taganrog 347922 (Russian Federation)
Description
Kinetic Monte Carlo simulations combined with the analytical nucleation theory are used to study droplet epitaxy of indium on the GaAs substrates patterned with triangular-shaped nanoholes. The simulation results demonstrate that the growth on the Ga-stabilized surface provides much better selectivity than the formation of nanostructures on the As-stabilized surface because of the stronger bonding with As atoms of the substrate. We estimate technological parameters which allow obtaining required characteristics of nanostructures with precise positioning and complete filling of holes. The distance between nanostructures is considered to be controlled by the growth temperature at an appropriate interhole distance. At the same time, dimensions of nanostructures are outlined by the geometrical parameters of holes and can be adjusted by the deposition thickness. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1124/2/022001Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1124
- Journal Issue
- 2
- Journal Page Range
- [5 p.]
- ISSN
- 1742-6596
Conference
- Title
- 5. International School and Conference on Optoelectronics, Photonics, Engineering and Nanostructures
- Acronym
- Saint Petersburg OPEN 2018
- Dates
- 2-5 Apr 2018
- Place
- Saint Petersburg (Russian Federation)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53021518
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S74: ATOMIC AND MOLECULAR PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ATOMS; BONDING; COMPUTERIZED SIMULATION; DEPOSITION; DROPLETS; EPITAXY; GALLIUM ARSENIDES; KINETICS; MONTE CARLO METHOD; NANOSTRUCTURES; NUCLEATION; SUBSTRATES; SURFACES
- Descriptors DEC
- ARSENIC COMPOUNDS; ARSENIDES; CALCULATION METHODS; CRYSTAL GROWTH METHODS; FABRICATION; GALLIUM COMPOUNDS; JOINING; PARTICLES; PNICTIDES; SIMULATION