Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 195

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Hydrogen Storage Properties of Space-Confined NaAlH4 Nanoparticles in Ordered Mesoporous Silica

Zheng, Shiyou, Fang, Fang, Zhou, Guangyou, Chen, Guorong, Ouyang, Liuzhang, Zhu, Min, Sun, Dalin·2008·Chemistry of Materials

Abstract

A method that is used by space-confining NaAlH 4 into the as-synthesized ordered mesoporous silica (OMS) is presented in the present work. NaAlH 4 in the pores of OMS is obtained by impregnation and drying techniques. It has been found that the space-confined NaAlH 4 in the pores of OMS shows the lower temperature and faster kinetics for dehydrogenation than that of the pristine NaAlH 4 . Moreover, in the absence of a catalyst, the rehydrogenation in a dehydrogenated NaAlH 4 system with nanoscale particles and phases can be achieved even with the temperatures of 125−150 °C and the hydrogen pressures of 3.5−5.5 MPa. The physical limitation of the NaAlH 4 particles, as well as the resulting Al and NaH phases, to be nanoscale in size by the pores of OMS is believed to be responsible for these.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/cm8002063

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 195

Metadata

Authors
Zheng, S., Fang, F., Zhou, G., Chen, G., Ouyang, L., Zhu, M., & Sun, D.
Venue
Chemistry of Materials
Published
2008-05-21
Volume
20
Issue
12
Pages
3954-3958
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W1970602067
Cited by
195
References
1
FWCI
6.74
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Hydrogen Storage Properties of Space-Confined NaAlH4 Nanoparticles in Ordered Mesoporous Silica. https://app.cochat.ai/papers/10.1021/cm8002063
The paper
Zheng, S., Fang, F., Zhou, G., Chen, G., Ouyang, L., Zhu, M., & Sun, D. (2008). Hydrogen Storage Properties of Space-Confined NaAlH4 Nanoparticles in Ordered Mesoporous Silica. Chemistry of Materials. https://doi.org/10.1021/cm8002063

Data sources

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.