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Title: Selectivity trend of gas separation through nanoporous graphene

Journal Article · · Journal of Solid State Chemistry
 [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)

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.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1185406
Alternate ID(s):
OSTI ID: 1367701
Journal Information:
Journal of Solid State Chemistry, Vol. 224, Issue C; ISSN 0022-4596
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 82 works
Citation information provided by
Web of Science

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Cited By (6)

Molecular simulation for separation of ethylene and ethane by functionalised graphene membrane journal July 2019
Atomistic understandings of reduced graphene oxide as an ultrathin-film nanoporous membrane for separations journal September 2015
Conformation-induced separation of 3-chloropropene from 1-chloropropane through nanoporous monolayer graphenes journal January 2019
Fundamental transport mechanisms, fabrication and potential applications of nanoporous atomically thin membranes journal June 2017
Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network journal January 2018
Influence of nanopore density on ethylene/acetylene separation by monolayer graphene journal January 2019

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