Summarization: The aim of the present work is to construct a model of heterogeneous nucleation based on a statistical mechanical derivation as an alternative to the classical model based on continuum thermodynamics. The result is similar to the classical approach, but the relation to the underlying microscopic physics is clearer. In our approach, we make use of the capillarity approximation using a cluster potential energy that is independent of the position of the molecules in the cluster. The model has a qualitative agreement with the experimental results of Mahata and Alofs for the heterogeneous nucleation of water on different substrates.Presented on: Journal of Chemical Physic
Title: Nucleation in complex systems Author: Jan Kulveit Institute: Institute of Physics of the Czec...
The tranquility of classical homogeneous nucleation theory has been disturbed by the introduction of...
Predictive modelling and quantitative understanding of nucleation is essential for predicting phase ...
Summarization: A statistical mechanical model for the heterogeneous nucleation process has been cons...
A statistical mechanical model for the heterogeneous nucleation process has been constructed in orde...
A statistical mechanical model for the heterogeneous nucleation process has been constructed in orde...
The principles of statistical mechanics have been used to develop a theory of the nucleation of a ph...
Abstract: The principles of statistical mechanics have been used to develop a theory of the nucleati...
Summarization: A statistical mechanical theory of homogeneous nucleation is developed based on a clu...
Abstract: The principles of statistical mechanics have been used to develop a theory of the nucleati...
We review the droplet models commonly used in calculations of the rate of homogeneous nucleation fro...
A statistical mechanical method to evaluate the energy of formation of water clusters attached to a ...
Large discrepancies between binary classical nucleation theory (BCNT) and experiments result from ad...
Abstract We studied the stochastic nature of heterogeneous nucleation of supercooled liquid water by...
Title: Nucleation in complex systems Author: Jan Kulveit Institute: Institute of Physics of the Czec...
Title: Nucleation in complex systems Author: Jan Kulveit Institute: Institute of Physics of the Czec...
The tranquility of classical homogeneous nucleation theory has been disturbed by the introduction of...
Predictive modelling and quantitative understanding of nucleation is essential for predicting phase ...
Summarization: A statistical mechanical model for the heterogeneous nucleation process has been cons...
A statistical mechanical model for the heterogeneous nucleation process has been constructed in orde...
A statistical mechanical model for the heterogeneous nucleation process has been constructed in orde...
The principles of statistical mechanics have been used to develop a theory of the nucleation of a ph...
Abstract: The principles of statistical mechanics have been used to develop a theory of the nucleati...
Summarization: A statistical mechanical theory of homogeneous nucleation is developed based on a clu...
Abstract: The principles of statistical mechanics have been used to develop a theory of the nucleati...
We review the droplet models commonly used in calculations of the rate of homogeneous nucleation fro...
A statistical mechanical method to evaluate the energy of formation of water clusters attached to a ...
Large discrepancies between binary classical nucleation theory (BCNT) and experiments result from ad...
Abstract We studied the stochastic nature of heterogeneous nucleation of supercooled liquid water by...
Title: Nucleation in complex systems Author: Jan Kulveit Institute: Institute of Physics of the Czec...
Title: Nucleation in complex systems Author: Jan Kulveit Institute: Institute of Physics of the Czec...
The tranquility of classical homogeneous nucleation theory has been disturbed by the introduction of...
Predictive modelling and quantitative understanding of nucleation is essential for predicting phase ...