108
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Molecular Dynamics Simulation on the Scaling Relation of Single Polymer Chain Diffusion on Single Wall Carbon Nanotube

, , , ORCID Icon &
Pages 177-184 | Received 31 Oct 2019, Accepted 30 Dec 2019, Published online: 08 Jan 2020
 

ABSTRACT

The diffusion of polymer confined on the surface has been an important topic of interest in polymer science. Extensive research has been done on the scaling relation between diffusion coefficient and chain length for polymer confined in flat two-dimension surface and three-dimension bulk. More work is still needed to be done on the polymer confined on a curved surface. In the present work, the molecular dynamics method is used to simulate the diffusion of a single polymer chain with different lengths on single-wall carbon nanotube. We investigate the influences of the temperature and the nanotube diameter on the scaling relation between the diffusion coefficient and the chain length. The results show that the scaling relation is independent on the temperature. However, the nanotube diameter influences the scaling relation obviously. With the nanotube diameter increasing, the scaling exponent increases.

Additional information

Funding

This work is supported by the Program for Innovative Research Team in University of Tianjin (TD13-5074). Financial supports are provided by young and middle aged teacher of Tianjin Normal University (52XC1201).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 583.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.