Published March 1, 1998
| Published
Journal Article
Open
Direct evaluation of the equilibrium distribution of physical clusters by a grand canonical Monte Carlo simulation
- Creators
- Kusaka, I.
-
Wang, Z.-G.
-
Seinfeld, J. H.
Chicago
Abstract
A new approach to cluster simulation is developed in the context of nucleation theory. This approach is free of any arbitrariness involved in the definition of a cluster. Instead, it preferentially and automatically generates the physical clusters, defined as the density fluctuations that lead to nucleation, and determines their equilibrium distribution in a single simulation, thereby completely bypassing the computationally expensive free energy evaluation that is necessary in a conventional approach. The validity of the method is demonstrated for a single component system using a model potential for water under several values of supersaturation.
Additional Information
© 1998 American Institute of Physics. (Received 29 September 1997; accepted 25 November 1997) The authors wish to express gratitude to Professor Howard Reiss and his co-workers for the series of insightful papers (Refs. 1–6) and fruitful discussions, which led them to appreciate the importance of the physical clusters in the context of nucleation theory. This work was supported by National Science Foundation Grant No. ATM-9614105. Z.-G.W. acknowledges support from the Camille and Henry Dreyfus Foundation, the Alfred P. Sloan Foundation, and the National Science Foundation. We also acknowledge support by a grant from the Mobil Corporation.Attached Files
Published - KUSjcp98a.pdf
Files
KUSjcp98a.pdf
Files
(344.5 kB)
Name | Size | Download all |
---|---|---|
md5:cc47f72aa3f7e3dbf10c599a7ef77959
|
344.5 kB | Preview Download |
Additional details
- Eprint ID
- 8773
- Resolver ID
- CaltechAUTHORS:KUSjcp98a
- NSF
- ATM-9614105
- Camille and Henry Dreyfus Foundation
- Alfred P. Sloan Foundation
- Mobil Oil Corporation
- Created
-
2007-09-15Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field