2012
DOI: 10.1002/ctpp.201200038
|View full text |Cite
|
Sign up to set email alerts
|

Towards a Particle Based Simulation of Complex Plasma Driven Nanocomposite Formation

Abstract: An overview on particle-based simulation of nanocomposite formation in a magnetron plasma is given. After discussing recent kinetic Monte Carlo results for metal cluster growth and diffusion, new results for the simulation of co-sputtering of metal and polymer are presented. Then, the second method based on molecular dynamics is discussed and time-resolved results for the coalescence of two clusters in the plasma are shown. We conclude with an outlook on the prospects for an integrated simulation of cluster gr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
19
0

Year Published

2012
2012
2017
2017

Publication Types

Select...
6
1

Relationship

5
2

Authors

Journals

citations
Cited by 21 publications
(20 citation statements)
references
References 33 publications
1
19
0
Order By: Relevance
“…[19][20][21][22] Especially for the particle-based simulation of nanocomposite formation, KMC simulations turned out to be a valuable tool since they allow for simplified but accurate selfconsistent descriptions of highly complex systems of macroscopic size. [21][22][23][24] In order to handle the complicated dynamics of nanocomposites, some drastic, but at the same time carefully chosen approximations are employed. The main idea behind the simulations is to condense all relevant physical effects into the behavior of simple geometric bodies.…”
Section: Simulation Modelmentioning
confidence: 99%
“…[19][20][21][22] Especially for the particle-based simulation of nanocomposite formation, KMC simulations turned out to be a valuable tool since they allow for simplified but accurate selfconsistent descriptions of highly complex systems of macroscopic size. [21][22][23][24] In order to handle the complicated dynamics of nanocomposites, some drastic, but at the same time carefully chosen approximations are employed. The main idea behind the simulations is to condense all relevant physical effects into the behavior of simple geometric bodies.…”
Section: Simulation Modelmentioning
confidence: 99%
“…Instead the diffusive motion of the metal atoms on the surface is driven by fluctuating and dissipative forces. This is much simpler than atomistic or coarsegrained surface models, but it has been shown in previous kinetic Monte Carlo (KMC) studies [16,17,29,36,37] that the diffusive motion of the metal atoms can be appropriately described by employing a continuum model for the polymer. This treatment is physically motivated by the facts that the assembly of polymer chains is very disordered and the interaction between metal and polymer is typically very weak [38].…”
Section: Introductionmentioning
confidence: 99%
“…How electrons are trapped in or at the wall, what their binding energy and residence time is, how and from what kind of electronic states they are released, and how the sheath potential merges with the surface potential of the wall are beyond the scope of this crude modeling of the plasma wall. In dusty plasmas [4][5][6][7][8], for instance, the total amount of charge soaked up by the dust particles affects of course the overall characteristic of the discharge [9] and should thus be known as precisely as possible. In dusty plasmas [4][5][6][7][8], for instance, the total amount of charge soaked up by the dust particles affects of course the overall characteristic of the discharge [9] and should thus be known as precisely as possible.…”
Section: Introductionmentioning
confidence: 99%