The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Improved performance of amorphous silicon solar cells via scattering from surface plasmon polaritons in nearby metallic nanoparticles
Abstract
An engineered enhancement in short-circuit current density and energy conversion efficiency in amorphous silicon p-i-n solar cells is achieved via improved transmission of electromagnetic radiation arising from forward scattering by surface plasmon polariton modes in Au nanoparticles deposited above the amorphous silicon film. For a Au nanoparticle density of ∼3.7×108cm−2, an 8.1% increase in short-circuit current density and an 8.3% increase in energy conversion efficiency are observed. Finite-element electromagnetic simulations confirm the expected increase in transmission of electromagnetic radiation at visible wavelengths, and suggest that substantially larger improvements should be attainable for higher nanoparticle densities.
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Cites
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Self-citationPhotovoltaic materials, history, status and outlook
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Cited by
Effective Wavelength Scaling for Optical Antennas
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Nanodome Solar Cells with Efficient Light Management and Self-Cleaning
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Nonlocal Effects in the Plasmons of Strongly Interacting Nanoparticles, Dimers, and Waveguides
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Metadata
- Authors
- Derkacs, D., Lim, S. H., Matheu, P., Mar, W., & Yu, E. T.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2006-08-28
- Volume
- 89
- Issue
- 9
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2001997365
- Cited by
- 788
- References
- 9
- FWCI
- 21.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Derkacs, D., Lim, S. H., Matheu, P., Mar, W., & Yu, E. T. (2006). Improved performance of amorphous silicon solar cells via scattering from surface plasmon polaritons in nearby metallic nanoparticles. Applied Physics Letters. https://doi.org/10.1063/1.2336629
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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.
