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Nanotechnological Aspects in Materials for Hydrogen Storage
Abstract
A nanotechnological app#roach aims at making tailor‐made developments for storage materials by combining different scientific disciplines and focussing on processes on the microscale. The approach has already been successful in achieving major advances in the field of novel solid materials for hydrogen storage. However, further breakthroughs are necessary to reach the goal of storage systems for fuel cell‐driven, mobile applications.
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Cited by
Complex Hydrides for Hydrogen Storage
Orimo, S.-I., Nakamori, Y., Eliseo, J. R., Züttel, A., & Jensen, C. M. (2007) · Chemical Reviews · doi:10.1021/cr0501846 · Cited by 2,318
Nanomaterials for renewable energy production and storage
Chen, X., Li, C., Grätzel, M., Kostecki, R., & Mao, S. S. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35230c · Cited by 1,015
Pillared Graphene: A New 3-D Network Nanostructure for Enhanced Hydrogen Storage
Dimitrakakis, G. K., Tylianakis, E., & Froudakis, G. E. (2008) · Nano Letters · doi:10.1021/nl801417w · Cited by 772
Hydrogen storage in metal–organic frameworks
Collins, D. J., & Zhou, H.-C. (2007) · Journal of Materials Chemistry · doi:10.1039/b702858j · Cited by 720
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
Metadata
- Authors
- Fichtner, M.
- Venue
- Advanced Engineering Materials
- Publisher
- Wiley
- Published
- 2005-06
- Volume
- 7
- Issue
- 6
- Pages
- 443-455
- ISSN
- 1438-1656 (ISSN-L)
- 1527-2648
- OpenAlex
- W1970014500
- Cited by
- 246
- References
- 0
- FWCI
- 13.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Fichtner, M. (2005). Nanotechnological Aspects in Materials for Hydrogen Storage. Advanced Engineering Materials. https://doi.org/10.1002/adem.200500022
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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.
