The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
In situ self-assembly of mild chemical reduction graphene for three-dimensional architectures
Abstract
Three-dimensional (3D) architectures of graphene are of interest in applications in electronics, catalysis devices, and sensors. However, it is still a challenge to fabricate macroscopic all-graphene 3D architectures under mild conditions. Here, a simple method for the preparation of 3D architectures of graphene is developed via the in situ self-assembly of graphene prepared by mild chemical reduction at 95 °C under atmospheric pressure without stirring. No chemical or physical cross-linkers or high pressures are required. The reducing agents include NaHSO(3), Na(2)S, Vitamin C, HI, and hydroquinone. Both graphene hydrogels and aerogels can be prepared by this method, and the shapes of the 3D architectures can be controlled by changing the type of reactor. The 3D architectures of graphene have low densities, high mechanical properties, thermal stability, high electrical conductivity, and high specific capacitance, which make them candidates for potential applications in supercapacitors, hydrogen storage and as supports for catalysts.
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Cites
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Self-Assembled Graphene Hydrogel via a One-Step Hydrothermal Process
Xu, Y., Sheng, K., Li, C., & Shi, G. (2010) · ACS Nano · doi:10.1021/nn101187z · Cited by 3,251
Synthesis of Graphene Aerogel with High Electrical Conductivity
Worsley, M. A., Pauzauskie, P. J., Olson, T. Y., Biener, J., Satcher, J. H., & Baumann, T. F. (2010) · Journal of the American Chemical Society · doi:10.1021/ja1072299 · Cited by 1,216
Cited by
Graphene-Based Electrochemical Sensors
Wu, S., He, Q., Tan, C., Wang, Y., & Zhang, H. (2013) · Small · doi:10.1002/smll.201202896 · Cited by 628
Low‐Density Open Cellular Sponges as Functional Materials
Jiang, S., Agarwal, S., & Greiner, A. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201700684 · Cited by 217
A 3D Chemically Modified Graphene Hydrogel for Fast, Highly Sensitive, and Selective Gas Sensor
Wu, J., Tao, K., Guo, Y., Li, Z., Wang, X., Luo, Z., Feng, S., Du, C., Chen, D., Miao, J., et al. (2017) · Advanced Science · doi:10.1002/advs.201600319 · Cited by 184
Ultralow Density, Monolithic WS2, MoS2, and MoS2/Graphene Aerogels
Worsley, M. A., Shin, S. J., Merrill, M. D., Lenhardt, J., Nelson, A. J., Woo, L. Y., Gash, A. E., Baumann, T. F., & Orme, C. A. (2015) · ACS Nano · doi:10.1021/acsnano.5b00087 · Cited by 182
Wan, W., Zhang, R., Li, W., Liu, H., Lin, Y., Li, L., & Zhou, Y. (2016) · Environmental Science: Nano · doi:10.1039/c5en00125k · Cited by 180
Metadata
- Authors
- Chen, W., & Yan, L.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 3
- Issue
- 8
- Pages
- 3132
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2065942418
- Cited by
- 715
- References
- 4
- FWCI
- 21.07
- Type
- journal article
- Language
- en
- Open access
- closed
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