Cluster growth processes by direct simulation monte carlo method

Thin films obtained by cluster deposition have attracted strong attention both as a new manufacturing technique to realize high-density magnetic recording media and to create systems with unique magnetic properties. Because the film's features are influenced by the cluster properties during the...

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Bibliographic Details
Published in:Applied physics. A, Materials science & processing Materials science & processing, 2001-12, Vol.73 (6), p.731-735
Main Authors: MIZUSEKI, H, JIN, Y, KAWAZOE, Y, WILLE, L. T
Format: Article
Language:English
Subjects:
Binding energy
Clusters
Computer simulation
Cross-disciplinary physics: materials science
rheology
Direct simulation Monte Carlo method
Exact sciences and technology
Flight paths
Materials science
Mathematical models
Methods of deposition of films and coatings
film growth and epitaxy
Molecular, atomic, ion, and chemical beam epitaxy
Monte Carlo methods
Physics
Size distribution
Theory and models of film growth
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Summary:Thin films obtained by cluster deposition have attracted strong attention both as a new manufacturing technique to realize high-density magnetic recording media and to create systems with unique magnetic properties. Because the film's features are influenced by the cluster properties during the flight path, the relevant physical scale to be studied is as large as centimeters. In this paper, a new model of cluster growth processes based on a combination of the Direct Simulation Monte Carlo (DSMC) method and the cluster growth model is introduced to examine the effects of experimental conditions on cluster growth by an adiabatic expansion process. From the macroscopic viewpoint, we simulate the behavior of clusters and inert gas in the flight path under different experimental conditions. The internal energy of the cluster, which consists of rotational and vibrational energies, is limited by the binding energy which depends on the cluster size. These internal and binding energies are used as criteria of the cluster growth. The binding energy is estimated by surface and volume terms. Several types of size distribution of generated clusters under various conditions are obtained by the present model. The results of the present numerical simulations reveal that the size distribution is strongly related to the experimental conditions and can be controlled.
ISSN:0947-8396
1432-0630
DOI:10.1007/s003390100911