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Cited by 550

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Biologically inspired flexible photonic films for efficient passive radiative cooling

Open access
Zhang, Haiwen, Ly, Kally C. S., Liu, Xianghui, Chen, Zhihan, Yan, Max, Wu, Zilong, Wang, Xin, Zheng, Yuebing, Zhou, Han, Fan, Tongxiang·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Some biological creatures have astonishing photonic structures to exhibit a thermal regulation ability. Taking inspiration from the brilliantly golden longicorn beetles, we demonstrate a bioinspired design of flexible hybrid photonic films for achieving efficient passive radiative cooling. Resonant polar dielectric microsphere particles were introduced into polydimethylsiloxane with photonic architectures to enhance the visible to near-infrared reflectivity and the midinfrared emissivity, enabling considerable subambient temperature drops under direct sunlight. This work paves the way toward radiative cooling technology based on photonic radiators with high performance and large-scale production, showing great potential for energy savings and efficient power generation.

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Metadata

Authors
Zhang, H., Ly, K. C. S., Liu, X., Chen, Z., Yan, M., Wu, Z., Wang, X., Zheng, Y., Zhou, H., & Fan, T.
Venue
Proceedings of the National Academy of Sciences
Published
2020-06-15
Volume
117
Issue
26
Pages
14657-14666
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3034928383
Cited by
550
References
0
FWCI
35.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biologically inspired flexible photonic films for efficient passive radiative cooling. https://app.cochat.ai/papers/10.1073/pnas.2001802117
The paper
Zhang, H., Ly, K. C. S., Liu, X., Chen, Z., Yan, M., Wu, Z., Wang, X., Zheng, Y., Zhou, H., & Fan, T. (2020). Biologically inspired flexible photonic films for efficient passive radiative cooling. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2001802117

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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.