Issue |
EPL
Volume 89, Number 1, January 2010
|
|
---|---|---|
Article Number | 10006 | |
Number of page(s) | 5 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/89/10006 | |
Published online | 19 January 2010 |
Lateral transport of thermal capillary waves
1
H.H. Wills Physics Laboratory, University of Bristol - Tyndall Avenue, Bristol BS8 1TL, UK, EU
2
Max-Planck-Institut für Metallforschung - Heisenbergstraße 3, D-70569 Stuttgart, Germany, EU
3
Institut für Theoretische und Angewandte Physik, Universität Stuttgart - D-70569 Stuttgart, Germany, EU
4
Institute of Physical Chemistry, Polish Academy of Sciences, Department III - Kasprzaka 44/52, PL-01-224 Warsaw, Poland, EU
5
Theoretische Physik II, Universität Bayreuth - Universitätsstraße 30, D-95440 Bayreuth, Germany, EU
Received:
15
October
2009
Accepted:
9
December
2009
We demonstrate that collective motion of interfacial fluctuations can occur at the interface between two coexisting thermodynamic phases. Based on computer simulation results for driven diffusive Ising and Blume-Capel models, we conjecture that the thermal capillary waves at a planar interface travel along the interface, if the lateral order parameter current j(y) is an odd function of the distance y from the interface and hence possesses opposite directions in the two phases. Such motion does not occur if j(y) is an even function of y. A discrete Gaussian interface model with effective dynamics exhibits similiar transport phenomena but with a simpler dispersion relation. These findings open up avenues for controlled interfacial transport on the nanoscale.
PACS: 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion / 05.50.+q – Lattice theory and statistics (Ising, Potts, etc.) / 68.05.Cf – Liquid-liquid interface structure: measurements and simulations
© EPLA, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.