The DOI matches its Crossref record; 274 of the 274 references it cites were found in a registry or an index.
Graphene-based materials: Synthesis and gas sorption, storage and separation
Open accessAbstract
Graphene-based materials have generated tremendous interest in a wide range of research activities. A wide variety of graphene related materials have been synthesised for potential applications in electronics, energy storage, catalysis, and gas sorption, storage, separation and sensing. Recently, gas sorption, storage and separation in porous nanocarbons and metal–organic frameworks have received increasing attention. In particular, the tuneable porosity, surface area and functionality of the lightweight and stable graphene-based materials open up great scope for those applications. Such structural features can be achieved by the design and control of the synthesis routes. Here, we highlight recent progresses and challenges in the syntheses of graphene-based materials with hierarchical pore structures, tuneable high surface area, chemical doping and surface functionalization for gas (H2, CH4, CO2, N2, NH3, NO2, H2S, SO2, etc.) sorption, storage and separation.
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Cites
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Cited by
Yu, X., Tang, Z., Sun, D., Ouyang, L., & Zhu, M. (2017) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.03.001 · Cited by 716
Carbon-Based Adsorbents for Postcombustion CO 2 Capture: A Critical Review
Creamer, A. E., & Gao, B. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b00627 · Cited by 598
Petrovic, B., Gorbounov, M., & Masoudi Soltani, S. (2021) · Microporous and Mesoporous Materials · doi:10.1016/j.micromeso.2020.110751 · Cited by 381
Metadata
- Authors
- Gadipelli, S., & Guo, Z. X.
- Venue
- Progress in Materials Science
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 69
- Pages
- 1-60
- ISSN
- 0079-6425 (ISSN-L)
- OpenAlex
- W2020898075
- Cited by
- 734
- References
- 274
- FWCI
- 25.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
