Thursday, April 15, 2010

ISI Web of Knowledge Alert - Majumder M

ISI Web of Knowledge Citation Alert

Cited Article: Majumder M. Nanoscale hydrodynamics - Enhanced flow in carbon nanotubes
Alert Expires: 09 NOV 2010
Number of Citing Articles: 1 new records this week (1 in this e-mail)
Organization ID: 3b97d1bbc1878baed0ab183d8b03130b
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Title:
Separation of gases from gas-water mixtures using carbon nanotubes

Authors:
Lee, J; Aluru, NR

Author Full Names:
Lee, Joonho; Aluru, N. R.

Source:
APPLIED PHYSICS LETTERS 96 (13): Art. No. 133108 MAR 29 2010

Language:
English

Document Type:
Article

Author Keywords:
adsorption; carbon nanotubes; diffusion; mixtures; molecular dynamics method

KeyWords Plus:
MOLECULAR-DYNAMICS METHOD; HYDROGEN; SIMULATIONS; SOLUBILITY; ADSORPTION; DIFFUSION; TRANSPORT; STORAGE; FLOW

Abstract:
We investigate equilibrium transport of gas-water mixtures, such as CO2-water, O-2-water and H-2-water mixtures, in carbon nanotubes using molecular dynamics simulations. Our results indicate that gases are selectively physisorbed in carbon nanotubes forming single-file gas chains. Once the single-file gas chains are formed, they prevent entry of water into the nanotube, suggesting that the presence of gas molecules can significantly affect the equilibrium transport of water in carbon nanotubes. The diffusion of single-file gas chains in nanotubes for gas-water mixtures is found to be lower compared to the single-file diffusion of gases in gas-only cases.

Reprint Address:
Aluru, NR, Univ Illinois Urbana Champaign, Dept Mech Sci & Engn, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA.

Research Institution addresses:
[Lee, Joonho; Aluru, N. R.] Univ Illinois Urbana Champaign, Dept Mech Sci & Engn, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA

E-mail Address:
aluru@illinois.edu

Cited References:
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Cited Reference Count:
24

Times Cited:
0

Publisher:
AMER INST PHYSICS; CIRCULATION & FULFILLMENT DIV, 2 HUNTINGTON QUADRANGLE, STE 1 N O 1, MELVILLE, NY 11747-4501 USA

Subject Category:
Physics, Applied

ISSN:
0003-6951

DOI:
10.1063/1.3374363

IDS Number:
578EC

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