Volume 117, Number 6, March 2017
|Number of page(s)||4|
|Published online||18 May 2017|
Thermal conductance of the coupled-rotator chain: Influence of temperature and size
1 Center for Phononics and Thermal Energy Science and School of Physics Science and Engineering, Tongji University 200092 Shanghai, China
2 China-EU Joint Lab for Nanophononics, Tongji University - Shanghai 200092, China
3 Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology, School of Physics Science and Engineering, Tongji University - Shanghai 200092, China
4 Department of Physics, Faculty of Science, Ege University - 35100 Izmir, Turkey
5 Centro Brasileiro de Pesquisas Fisicas and National Institute for Science and Technology of Complex Systems Rua Dr. Xavier Sigaud 150, 22290-180 Rio de Janeiro, RJ, Brazil
6 Department of Mechanical Engineering, University of Colorado Boulder - Boulder, CO 80309, USA
7 Santa Fe Institute - 1399 Hyde Park Road, Santa Fe, NM 87501, USA
8 Complexity Science Hub Vienna - Josefstadter Strasse 39, 1080 Vienna, Austria
Received: 22 March 2017
Accepted: 3 May 2017
The thermal conductance of a homogeneous 1D nonlinear lattice system with neareast-neighbor interactions has recently been computationally studied in detail by Li et al. (Eur. Phys. J. B, 88 (2015) 182), where its power-law dependence on temperature T for high temperatures is shown. Here, we address its entire temperature dependence, in addition to its dependence on the size N of the system. We obtain a neat data collapse for arbitrary temperatures and system sizes, and numerically show that the thermal conductance curve is quite satisfactorily described by a fat-tailed q-Gaussian dependence on with . Consequently, its asymptotic behavior is given by with .
PACS: 05.20.-y – Classical statistical mechanics / 05.45.Pq – Numerical simulations of chaotic systems
© EPLA, 2017
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.