We report kinetic Monte-Karlo (KMC) simulation of self-assembled synthesis of nanocrystals by physical vapor deposition (PVD), which is one of most flexible, efficient, and clean techniques to fabricate nanopatterns. In particular, self-assembled arrays of nanocrystals can be synthesized by PVD. However size, shape and density of self-assembled nanocrystals are highly sensitive to the process conditions such as duration of deposition, temperature, substrate material, etc. To efficiently synthesize nanocrystalline arrays by PVD, the process control factors should be understood in detail. KMC simulations of film deposition are an important tool for understanding the mechanisms of film deposition. In this paper, we report a KMC modeling that e...
A three-dimensional kinetic Monte Carlo model has been developed to simulate the chemical vapor depo...
The general theme of this research has been to expand the capabilities of a simulation technique, Ki...
Controlled growth of crystalline solids is critical for device applications, and atomistic modeling ...
Fabrication of self-assembled arrays of nanocrystals (NCs) by physical vapor deposition (PVD) is a p...
A full diffusion kinetic Monte Carlo algorithm is used to model nanocrystalline film deposition, and...
This thesis uses the kinetic Monte Carlo (KMC) algorithm to examine the growth morphology and struct...
International audienceNew advanced nanoscale-controlled materials could offer unique functionalities...
Thin films are nanoscale layers of material, with exotic properties useful in diverse areas, ranging...
The growth dynamics of faceted three-dimensional (3D) Ag islands on weakly-interacting substrates ar...
A Kinetic Monte Carlo simulation of the nucleation and growth of Pd clusters on a nanostructured alu...
We use computer simulation to explore phenomena which could be used to grow arbitrary arrangements o...
This thesis addresses the metal nanocluster growth process on prepatterned substrates, the developme...
Nobel metals that are deposited on a polymer surface exhibit surface diffusion and diffusion into th...
We have conducted the first experiments under identical thermal, background, and surface preparation...
The kinetic Monte Carlo (KMC) method is a powerful and simple tool to simulate the growth of thin fi...
A three-dimensional kinetic Monte Carlo model has been developed to simulate the chemical vapor depo...
The general theme of this research has been to expand the capabilities of a simulation technique, Ki...
Controlled growth of crystalline solids is critical for device applications, and atomistic modeling ...
Fabrication of self-assembled arrays of nanocrystals (NCs) by physical vapor deposition (PVD) is a p...
A full diffusion kinetic Monte Carlo algorithm is used to model nanocrystalline film deposition, and...
This thesis uses the kinetic Monte Carlo (KMC) algorithm to examine the growth morphology and struct...
International audienceNew advanced nanoscale-controlled materials could offer unique functionalities...
Thin films are nanoscale layers of material, with exotic properties useful in diverse areas, ranging...
The growth dynamics of faceted three-dimensional (3D) Ag islands on weakly-interacting substrates ar...
A Kinetic Monte Carlo simulation of the nucleation and growth of Pd clusters on a nanostructured alu...
We use computer simulation to explore phenomena which could be used to grow arbitrary arrangements o...
This thesis addresses the metal nanocluster growth process on prepatterned substrates, the developme...
Nobel metals that are deposited on a polymer surface exhibit surface diffusion and diffusion into th...
We have conducted the first experiments under identical thermal, background, and surface preparation...
The kinetic Monte Carlo (KMC) method is a powerful and simple tool to simulate the growth of thin fi...
A three-dimensional kinetic Monte Carlo model has been developed to simulate the chemical vapor depo...
The general theme of this research has been to expand the capabilities of a simulation technique, Ki...
Controlled growth of crystalline solids is critical for device applications, and atomistic modeling ...