The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Nanostructured VO2 Photocatalysts for Hydrogen Production
Abstract
Vanadium dioxide (VO(2)) is a well-known semiconductor material with a band gap of 0.7 eV, and is seldom used as a photocatalyst. We report here a new crystal structure for nanostructured VO(2), with body-centered-cubic (bcc) structure and a large optical band gap of approximately 2.7 eV, which surprisingly shows excellent photocatalytic activity in hydrogen production. The bcc VO(2) phase exhibited a high quantum efficiency of approximately 38.7% when synthesized as nanorods. Using films of the aligned VO(2) nanorods, the hydrogen production rate can be tuned by varying the incident angle of UV light on the films and reaches a high rate of 800 mmol/m(2)/h from a mixture of water and ethanol under UV light, at a power density of approximately 27 mW/cm(2), allowing possible commercial application of this material as photoassisted hydrogen generators.
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.
Integrity signals
Registry
Cites
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.
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
A realizable renewable energy future
Turner, J. A. (1999) · Science · doi:10.1126/science.285.5428.687 · Cited by 1,642
Cited by
Semiconductor-based Photocatalytic Hydrogen Generation
Chen, X., Shen, S., Guo, L., & Mao, S. S. (2010) · Chemical Reviews · doi:10.1021/cr1001645 · Cited by 7,876
A review of Raman spectroscopy of vanadium oxides
Shvets, P., Dikaya, O., Maksimova, K., & Goikhman, A. (2019) · Journal of Raman Spectroscopy · doi:10.1002/jrs.5616 · Cited by 561
Nanostructured materials for photocatalytic hydrogen production
Zhu, J., & Zäch, M. (2009) · Current Opinion in Colloid & Interface Science · doi:10.1016/j.cocis.2009.05.003 · Cited by 406
Designer Titania-Supported Au–Pd Nanoparticles for Efficient Photocatalytic Hydrogen Production
Su, R., Tiruvalam, R., Logsdail, A. J., He, Q., Downing, C. A., Jensen, M. T., Dimitratos, N., Kesavan, L., Wells, P. P., Bechstein, R., et al. (2014) · ACS Nano · doi:10.1021/nn500963m · Cited by 306
Metadata
- Authors
- Wang, Y., Zhang, Z., Zhu, Y., Li, Z., Vajtai, R., Ci, L., & Ajayan, P. M.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-07-01
- Volume
- 2
- Issue
- 7
- Pages
- 1492-1496
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2055090375
- Cited by
- 171
- References
- 1
- FWCI
- 6.79
- 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
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.
