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Title: Selectivity trend of gas separation through nanoporous graphene

Abstract

We demonstrate that porous graphene can efficiently separate gases according to their molecular sizes using molecular dynamic (MD) simulations,. The flux sequence from the classical MD simulation is H 2>CO 2>>N 2>Ar>CH 4, which generally follows the trend in the kinetic diameters. Moreover, this trend is also confirmed from the fluxes based on the computed free energy barriers for gas permeation using the umbrella sampling method and kinetic theory of gases. Both brute-force MD simulations and free-energy calcualtions lead to the flux trend consistent with experiments. Case studies of two compositions of CO 2/N 2 mixtures further demonstrate the separation capability of nanoporous graphene.

Authors:
 [1];  [2];  [3]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Puerto Rico, San Juan (Puerto Rico)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1185406
Alternate Identifier(s):
OSTI ID: 1367701
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Solid State Chemistry
Additional Journal Information:
Journal Volume: 224; Journal Issue: C; Journal ID: ISSN 0022-4596
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE

Citation Formats

Liu, Hongjun, Chen, Zhongfang, Dai, Sheng, and Jiang, De-en. Selectivity trend of gas separation through nanoporous graphene. United States: N. p., 2014. Web. doi:10.1016/j.jssc.2014.01.030.
Liu, Hongjun, Chen, Zhongfang, Dai, Sheng, & Jiang, De-en. Selectivity trend of gas separation through nanoporous graphene. United States. doi:10.1016/j.jssc.2014.01.030.
Liu, Hongjun, Chen, Zhongfang, Dai, Sheng, and Jiang, De-en. Wed . "Selectivity trend of gas separation through nanoporous graphene". United States. doi:10.1016/j.jssc.2014.01.030. https://www.osti.gov/servlets/purl/1185406.
@article{osti_1185406,
title = {Selectivity trend of gas separation through nanoporous graphene},
author = {Liu, Hongjun and Chen, Zhongfang and Dai, Sheng and Jiang, De-en},
abstractNote = {We demonstrate that porous graphene can efficiently separate gases according to their molecular sizes using molecular dynamic (MD) simulations,. The flux sequence from the classical MD simulation is H2>CO2>>N2>Ar>CH4, which generally follows the trend in the kinetic diameters. Moreover, this trend is also confirmed from the fluxes based on the computed free energy barriers for gas permeation using the umbrella sampling method and kinetic theory of gases. Both brute-force MD simulations and free-energy calcualtions lead to the flux trend consistent with experiments. Case studies of two compositions of CO2/N2 mixtures further demonstrate the separation capability of nanoporous graphene.},
doi = {10.1016/j.jssc.2014.01.030},
journal = {Journal of Solid State Chemistry},
issn = {0022-4596},
number = C,
volume = 224,
place = {United States},
year = {2014},
month = {1}
}

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Cited by: 30 works
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