Quantum dot self-assembly in growth of strained-layer thin films: A kinetic Monte Carlo study

2000 ◽  
Vol 62 (24) ◽  
pp. 16657-16664 ◽  
Author(s):  
K. E. Khor ◽  
S. Das Sarma
Keyword(s):  
Thin Films ◽  
Monte Carlo ◽  
Quantum Dot ◽  
Self Assembly ◽  
Kinetic Monte Carlo ◽  
Monte Carlo Study ◽  
Strained Layer

Growth of vertically aligned nanowires in metal–oxide nanocomposites: kinetic Monte-Carlo modeling versus experiments

Nanoscale ◽  
2018 ◽  
Vol 10 (16) ◽  
pp. 7666-7675 ◽  
Author(s):  
M. Hennes ◽  
V. Schuler ◽  
X. Weng ◽  
J. Buchwald ◽  
D. Demaille ◽  
...  
Keyword(s):  
Thin Films ◽  
Monte Carlo ◽  
Metal Oxide ◽  
Self Assembly ◽  
Kinetic Monte Carlo ◽  
The Self ◽  
Metallic Nanowires ◽  
Monte Carlo Modeling ◽  
Monte Carlo Approach ◽  
Vertically Aligned

We developed a kinetic Monte-Carlo approach to model the self-assembly of ultrathin metallic nanowires during the growth of hybrid Ni–SrTiO3 thin films.

Combined DFT and kinetic Monte Carlo study of a bridging-spillover mechanism on fluorine-decorating graphene

2020 ◽  
Author(s):  
Jing-hua Guo ◽  
Jin-Xiang Liu ◽  
Hongbo Wang ◽  
Haiying Liu ◽  
Gang Chen
Keyword(s):  
Monte Carlo ◽  
First Principles ◽  
Kinetic Monte Carlo ◽  
Monte Carlo Study ◽  
First Principles Calculations ◽  
Graphene Surface

In this work, combining the first-principles calculations with kinetic Monte Carlo (KMC) simulations, we constructed an irregular carbon bridge on the graphene surface and explored the process of H migration...

scholarly journals A semi-grand canonical kinetic Monte Carlo study of single-walled carbon nanotube growth

AIP Advances ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 045306
Author(s):  
Georg Daniel Förster ◽  
Thomas D. Swinburne ◽  
Hua Jiang ◽  
Esko Kauppinen ◽  
Christophe Bichara
Keyword(s):  
Monte Carlo ◽  
Carbon Nanotube ◽  
Kinetic Monte Carlo ◽  
Monte Carlo Study ◽  
Single Walled Carbon Nanotube ◽  
Single Walled Carbon ◽  
Carbon Nanotube Growth ◽  
Nanotube Growth ◽  
Grand Canonical

Kinetic Monte Carlo Simulations of Strain-Induced Nanopatterning on Hexagonal Surfaces

2002 ◽  
Vol 731 ◽  
Author(s):  
M.I. Larsson ◽  
B. Lee ◽  
R. Sabiryanov ◽  
K. Cho ◽  
W. Nix ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Saddle Point ◽  
Self Assembly ◽  
Nearest Neighbor ◽  
Kinetic Monte Carlo ◽  
Research Field ◽  
Surface Strain ◽  
Manufacturing Cost ◽  
Component Size ◽  
Quantum Mechanical Effects

AbstractGuided self assembly of periodic arrays of quantum dots has recently emerged as an important research field not only to reduce component size and manufacturing cost but also to explore and apply quantum mechanical effects in novel nanodevices. The intention of this kinetic Monte Carlo (KMC) simulation study is to investigate self-organized nanopatterning on hexagonal surfaces for relaxed periodic surface strain fields applied to Pt(111) epitaxy. The KMC model is a full diffusion bond-counting model including nearest neighbor as well as second-nearest neighbor interactions with an event catalogue consisting of 8989 events modeling the effect of the biaxial surface strain field. The strain dependence of the fcc site and the saddle point for a Pt adatom migrating on top of the Pt(111) surface is calculated using the embedded atom method. Both the valley and the saddle point energies show an excellent linear dependence on the strain. These results are applied in the KMC model. The surface strain in this study is caused by a hexagonal network of dislocations at the interface between the substrate and a mismatched epitaxial layer. How the selforganization of deposited atoms is influenced by the surface strain will be addressed.

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