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InP Nanowire Array Solar Cells Achieving 13.8% Efficiency by Exceeding the Ray Optics Limit

Wallentin, Jesper, Anttu, Nicklas, Asoli, Damir, Huffman, Maria, Åberg, Ingvar, Magnusson, Martin H., Siefer, Gerald, Fuss-Kailuweit, Peter, Dimroth, Frank, Witzigmann, Bernd, Xu, H. Q., Samuelson, Lars, Deppert, Knut, Borgström, Magnus T.·2013·Science

Abstract

Improving Nanowire Photovoltaics: In principle, solar cells based on arrays of nanowires made from compound inorganic semiconductors, such as indium phosphide (InP), should decrease materials and fabrication costs compared with planar junctions. In practice, device efficiencies tend to be low because of poor light absorption and increased rates of unproductive charge recombination in the surface region. Wallentin et al. (p. 1057 , published online 17 January) now report that arrays of p-i-n InP nanowires (that switch from positive to negative doping), grown to millimeter lengths, can be optimized by varying the nanowire diameter and length of the n-doped segment. Efficiencies as high as 13.8% were achieved, which are comparable to the best planar InP photovoltaics.

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Metadata

Authors
Wallentin, J., Anttu, N., Asoli, D., Huffman, M., Åberg, I., Magnusson, M. H., Siefer, G., Fuss-Kailuweit, P., Dimroth, F., Witzigmann, B., Xu, H. Q., Samuelson, L., Deppert, K., & Borgström, M. T.
Venue
Science
Published
2013-03
Volume
339
Issue
6123
Pages
1057-1060
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2045019097
Cited by
1,185
References
1
FWCI
100.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: InP Nanowire Array Solar Cells Achieving 13.8% Efficiency by Exceeding the Ray Optics Limit. https://app.cochat.ai/papers/10.1126/science.1230969
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Wallentin, J., Anttu, N., Asoli, D., Huffman, M., Åberg, I., Magnusson, M. H., Siefer, G., Fuss-Kailuweit, P., Dimroth, F., Witzigmann, B., Xu, H. Q., Samuelson, L., Deppert, K., & Borgström, M. T. (2013). InP Nanowire Array Solar Cells Achieving 13.8% Efficiency by Exceeding the Ray Optics Limit. Science. https://doi.org/10.1126/science.1230969

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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