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Cited by 2,523

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Quantum Dot Solar Cells. Semiconductor Nanocrystals as Light Harvesters

Kamat, Prashant V.·2008·The Journal of Physical Chemistry C

Abstract

The emergence of semiconductor nanocrystals as the building blocks of nanotechnology has opened up new ways to utilize them in next generation solar cells. This paper focuses on the recent developments in the utilization of semiconductor quantum dots for light energy conversion. Three major ways to utilize semiconductor dots in solar cell include (i) metal−semiconductor or Schottky junction photovoltaic cell (ii) polymer−semiconductor hybrid solar cell, and (iii) quantum dot sensitized solar cell. Modulation of band energies through size control offers new ways to control photoresponse and photoconversion efficiency of the solar cell. Various strategies to maximize photoinduced charge separation and electron transfer processes for improving the overall efficiency of light energy conversion are discussed. Capture and transport of charge carriers within the semiconductor nanocrystal network to achieve efficient charge separation at the electrode surface remains a major challenge. Directing the future research efforts toward utilization of tailored nanostructures will be an important challenge for the development of next generation solar cells.

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Metadata

Authors
Kamat, P. V.
Venue
The Journal of Physical Chemistry C
Published
2008-10-18
Volume
112
Issue
48
Pages
18737-18753
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W2046995109
Cited by
2,523
References
4
FWCI
72.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Quantum Dot Solar Cells. Semiconductor Nanocrystals as Light Harvesters. https://app.cochat.ai/papers/10.1021/jp806791s
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Kamat, P. V. (2008). Quantum Dot Solar Cells. Semiconductor Nanocrystals as Light Harvesters. The Journal of Physical Chemistry C. https://doi.org/10.1021/jp806791s

Data sources

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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.