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Cited by 445

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Single-shot on-chip spectral sensors based on photonic crystal slabs

Open access
Wang, Zhu, Yi, Soongyu, Chen, Ang, Zhou, Ming, Luk, Ting Shan, James, Anthony, Nogan, John, Ross, Willard, Joe, Graham, Shahsafi, Alireza, Wang, Ken Xingze, Kats, Mikhail A., Yu, Zongfu·2019·Nature Communications

Abstract

Miniaturized spectrometers have significant potential for portable applications such as consumer electronics, health care, and manufacturing. These applications demand low cost and high spectral resolution, and are best enabled by single-shot free-space-coupled spectrometers that also have sufficient spatial resolution. Here, we demonstrate an on-chip spectrometer that can satisfy all of these requirements. Our device uses arrays of photodetectors, each of which has a unique responsivity with rich spectral features. These responsivities are created by complex optical interference in photonic-crystal slabs positioned immediately on top of the photodetector pixels. The spectrometer is completely complementary metal–oxide–semiconductor (CMOS) compatible and can be mass produced at low cost.

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Metadata

Authors
Wang, Z., Yi, S., Chen, A., Zhou, M., Luk, T. S., James, A., Nogan, J., Ross, W., Joe, G., Shahsafi, A., Wang, K. X., Kats, M. A., & Yu, Z.
Venue
Nature Communications
Published
2019-03-04
Volume
10
Issue
1
Pages
1020-1020
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2918580768
Cited by
445
References
30
FWCI
12.44
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Single-shot on-chip spectral sensors based on photonic crystal slabs. https://app.cochat.ai/papers/10.1038/s41467-019-08994-5
The paper
Wang, Z., Yi, S., Chen, A., Zhou, M., Luk, T. S., James, A., Nogan, J., Ross, W., Joe, G., Shahsafi, A., Wang, K. X., Kats, M. A., & Yu, Z. (2019). Single-shot on-chip spectral sensors based on photonic crystal slabs. Nature Communications. https://doi.org/10.1038/s41467-019-08994-5

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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.