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Cited by 367

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

Design principles for shift current photovoltaics

Open access
Cook, Ashley M., M. Fregoso, Benjamin, de Juan, Fernando, Coh, Sinisa, Moore, Joel E.·2017·Nature Communications

Abstract

While the basic principles of conventional solar cells are well understood, little attention has gone towards maximizing the efficiency of photovoltaic devices based on shift currents. By analysing effective models, here we outline simple design principles for the optimization of shift currents for frequencies near the band gap. Our method allows us to express the band edge shift current in terms of a few model parameters and to show it depends explicitly on wavefunctions in addition to standard band structure. We use our approach to identify two classes of shift current photovoltaics, ferroelectric polymer films and single-layer orthorhombic monochalcogenides such as GeS, which display the largest band edge responsivities reported so far. Moreover, exploring the parameter space of the tight-binding models that describe them we find photoresponsivities that can exceed 100 mA W−1. Our results illustrate the great potential of shift current photovoltaics to compete with conventional solar cells.

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Metadata

Authors
Cook, A. M., M. Fregoso, B., de Juan, F., Coh, S., & Moore, J. E.
Venue
Nature Communications
Published
2017-01-25
Volume
8
Issue
1
Pages
14176-14176
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2262861736
Cited by
367
References
70
FWCI
12.68
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Design principles for shift current photovoltaics. https://app.cochat.ai/papers/10.1038/ncomms14176
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Cook, A. M., M. Fregoso, B., de Juan, F., Coh, S., & Moore, J. E. (2017). Design principles for shift current photovoltaics. Nature Communications. https://doi.org/10.1038/ncomms14176

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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.