The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Nanowire-based dye-sensitized solar cells
Abstract
We describe the design and performance of a ZnO nanowire-based dye-sensitized solar cell. ZnO nanowires with a branched structure were employed as the wide-band-gap semiconductor to construct dye-sensitized solar cells which exhibit energy conversion efficiencies of 0.5% with internal quantum efficiencies of 70%. The nanowires provide a direct conduction path for electrons between the point of photogeneration and the conducting substrate and may offer improved electron transport compared to films of sintered nanoparticles. The devices have light harvesting efficiencies under 10%, indicating that current densities and efficiencies can be improved by an order of magnitude by increasing the nanowire surface area.
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Citations
Cites
A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films
O'Regan, B., & Grätzel, M. (1991) · Nature · doi:10.1038/353737a0 · Cited by 28,599
Cited by
Liu, B., & Aydil, E. S. (2009) · Journal of the American Chemical Society · doi:10.1021/ja8078972 · Cited by 2,381
Self-citationNanotechnology‐Enabled Energy Harvesting for Self‐Powered Micro‐/Nanosystems
Wang, Z. L., & Wu, W. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201201656 · Cited by 1,063
Metadata
- Authors
- Baxter, J. B., & Aydil, E. S.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2005-01-31
- Volume
- 86
- Issue
- 5
- Pages
- 053114
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2049526916
- Cited by
- 1,052
- References
- 1
- FWCI
- 38.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Baxter, J. B., & Aydil, E. S. (2005). Nanowire-based dye-sensitized solar cells. Applied Physics Letters. https://doi.org/10.1063/1.1861510
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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.
