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Cited by 2,800

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

High-Efficiency Perovskite Solar Cells

Kim, Jin Young, Lee, Jin-Wook, Jung, Hyun Suk, Shin, Hyunjung, Park, Nam-Gyu·2020·Chemical Reviews

Abstract

With rapid progress in a power conversion efficiency (PCE) to reach 25%, metal halide perovskite-based solar cells became a game-changer in a photovoltaic performance race. Triggered by the development of the solid-state perovskite solar cell in 2012, intense follow-up research works on structure design, materials chemistry, process engineering, and device physics have contributed to the revolutionary evolution of the solid-state perovskite solar cell to be a strong candidate for a next-generation solar energy harvester. The high efficiency in combination with the low cost of materials and processes are the selling points of this cell over commercial silicon or other organic and inorganic solar cells. The characteristic features of perovskite materials may enable further advancement of the PCE beyond those afforded by the silicon solar cells, toward the Shockley-Queisser limit. This review summarizes the fundamentals behind the optoelectronic properties of perovskite materials, as well as the important approaches to fabricating high-efficiency perovskite solar cells. Furthermore, possible next-generation strategies for enhancing the PCE over the Shockley-Queisser limit are discussed.

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Metadata

Authors
Kim, J. Y., Lee, J.-W., Jung, H. S., Shin, H., & Park, N.-G.
Venue
Chemical Reviews
Published
2020-07-28
Volume
120
Issue
15
Pages
7867-7918
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W3045599769
Cited by
2,800
References
7
FWCI
13.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High-Efficiency Perovskite Solar Cells. https://app.cochat.ai/papers/10.1021/acs.chemrev.0c00107
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Kim, J. Y., Lee, J.-W., Jung, H. S., Shin, H., & Park, N.-G. (2020). High-Efficiency Perovskite Solar Cells. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.0c00107

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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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