Improved permeability and selectivity in porous graphene for hydrogen purification

Literature Information

Publication Date 2014-10-24
DOI 10.1039/C4CP04385E
Impact Factor 3.676
Authors

Chengxi Huang, Haiping Wu, Kaiming Deng, Weihua Tang


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Abstract

Porous graphene is a promising material for the realization of low-cost, large-area and lightweight gas separation. However, molecular-sieving membranes based on porous materials reported thus far generally cannot fulfill the requirements of both high permeability and high selectivity. Simultaneously meeting the goals of high permeability and high selectivity remains a great challenge. As we demonstrate here, with the development of an inter-layer-connected porous graphene bilayer, both the permeability and selectivity are significantly improved, and a high criterion of selectivity for H2 over CH4 (1024 at room temperature) as well as a high flux of H2 (2.4 × 105 Gas Permeance Unit) has been reached. Our studies highlight a new approach towards the final goal of high-permeability and high-selectivity molecular-sieving membranes using simple structural engineering.

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Front cover

Cover

DOI: 10.1039/B515156M

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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