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The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Separation of Hydrogen and Nitrogen Gases with Porous Graphene Membrane

Du, Huailiang, Li, Jingyuan, Zhang, Jing, Su, Gang, Li, Xiaoyi, Zhao, Yuliang·2011·The Journal of Physical Chemistry C

Abstract

We designed a series of porous graphene as the separation membrane of H 2 /N 2 . The selectivity and permeability could be controlled by drilling various nanopores with different shapes and sizes. The mechanisms of hydrogen and nitrogen to permeate through the porous graphene are different. The small nanopore (pore-11) can only allow the hydrogen molecules to permeate due to the size restriction. In the systems of bigger nanopores (e.g., pore-13, pore-14, etc.), where the pore size is big enough to allow nitrogen molecules to permeate without any restriction, we observed more permeation events of nitrogen than that of hydrogen molecules. The reason is that the van der Waals interactions with the graphene membrane make the nitrogen molecules accumulate on the surface of graphene. When the pore size further increases, the flow of hydrogen molecules exhibits the linear dependence on the pore area, while there is no obvious correlation between the flow of nitrogen molecules and the pore area.

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Metadata

Authors
Du, H., Li, J., Zhang, J., Su, G., Li, X., & Zhao, Y.
Venue
The Journal of Physical Chemistry C
Published
2011-11-07
Volume
115
Issue
47
Pages
23261-23266
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W2334600718
Cited by
382
References
24
FWCI
40.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Separation of Hydrogen and Nitrogen Gases with Porous Graphene Membrane. https://app.cochat.ai/papers/10.1021/jp206258u
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Du, H., Li, J., Zhang, J., Su, G., Li, X., & Zhao, Y. (2011). Separation of Hydrogen and Nitrogen Gases with Porous Graphene Membrane. The Journal of Physical Chemistry C. https://doi.org/10.1021/jp206258u

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.