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
The phase transition via homogeneous nucleation is a fundamental process and plays important roles i...
The process of nucleation is an essential part of understanding and controlling phase changes in a w...
The intent of this work is to examine small cluster discrete size effects and their effect on the fr...
An expression is derived that relates the average population of a particular type of cluster in a me...
The formation free energy of clusters in a supersaturated vapor is obtained by a constrained Monte C...
We clarify some of the subtle issues surrounding the observational cluster method, a simulation tech...
A better understanding of the limiting step in a first order phase transition, the nucleation proces...
A small-system grand canonical ensemble Monte Carlo method is developed to evaluate cluster size dis...
Two Monte Carlo simulation methods incorporating cluster-cluster interactions have been proposed to ...
A formalism is presented for estimating critical cluster size as defined in classical models for nuc...
AbstractUnderstanding the behavior of systems that display self-assembly or phase nucleation require...
We present a comparison between Monte Carlo (MC) results for homogeneous vapourliquid nucleation of ...
Gibbs free energy of ij-cluster formation ΔGij is obtained via the relation nij=Ne-ΔGij /kBT, where ...
Although nucleation phenomena are among the most widespread of all naturally occurring phenomena, ev...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77215/1/AIAA-2005-4831-470.pd
The phase transition via homogeneous nucleation is a fundamental process and plays important roles i...
The process of nucleation is an essential part of understanding and controlling phase changes in a w...
The intent of this work is to examine small cluster discrete size effects and their effect on the fr...
An expression is derived that relates the average population of a particular type of cluster in a me...
The formation free energy of clusters in a supersaturated vapor is obtained by a constrained Monte C...
We clarify some of the subtle issues surrounding the observational cluster method, a simulation tech...
A better understanding of the limiting step in a first order phase transition, the nucleation proces...
A small-system grand canonical ensemble Monte Carlo method is developed to evaluate cluster size dis...
Two Monte Carlo simulation methods incorporating cluster-cluster interactions have been proposed to ...
A formalism is presented for estimating critical cluster size as defined in classical models for nuc...
AbstractUnderstanding the behavior of systems that display self-assembly or phase nucleation require...
We present a comparison between Monte Carlo (MC) results for homogeneous vapourliquid nucleation of ...
Gibbs free energy of ij-cluster formation ΔGij is obtained via the relation nij=Ne-ΔGij /kBT, where ...
Although nucleation phenomena are among the most widespread of all naturally occurring phenomena, ev...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77215/1/AIAA-2005-4831-470.pd
The phase transition via homogeneous nucleation is a fundamental process and plays important roles i...
The process of nucleation is an essential part of understanding and controlling phase changes in a w...
The intent of this work is to examine small cluster discrete size effects and their effect on the fr...