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Cited by 191

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Hydrogen-rich boron-containing materials for hydrogen storage

Wang, Ping, Kang, Xiang-dong·2008·Dalton Transactions

Abstract

Hydrogen-rich boron-containing compounds have received extensive attention as potential hydrogen storage media for vehicular applications. The past years have seen significant progresses in material discovery, material composition/structure tailoring, catalyst identification and regeneration chemistry, which give rise to state-of-the-art hydrogen storage materials/technologies. Lithium tetrahydroborate-related materials exhibit the hitherto highest reversible hydrogen capacity via solid-gas reactions. Catalytic hydrolysis of sodium tetrahydroborate offers an on-demand hydrogen generation system for vehicular applications. Ammonia borane-related materials exhibit a satisfactory combination of material properties that are suited for on-board hydrogen sources, coupled with significant advances in spent fuels regeneration. This Perspective discusses the current progresses of these representative reversible or irreversible material systems, aiming at providing an outline of the forefront of hydrogen storage materials/technologies for transportation applications.

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Metadata

Authors
Wang, P., & Kang, X.-D.
Venue
Dalton Transactions
Published
2008
Issue
40
Pages
5400
ISSN
  • 1477-9226 (ISSN-L)
  • 1477-9234
OpenAlex
W2094810581
Cited by
191
References
2
FWCI
11.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hydrogen-rich boron-containing materials for hydrogen storage. https://app.cochat.ai/papers/10.1039/b807162d
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Wang, P., & Kang, X.-D. (2008). Hydrogen-rich boron-containing materials for hydrogen storage. Dalton Transactions. https://doi.org/10.1039/b807162d

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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.