Direct photo-patterning of halide perovskites toward machine-learning-assisted erasable photonic cryptography

The patterning of perovskites is significant for optical encryption, display, and optoelectronic integrated devices. However, stringent and complex fabrication processes restrict its development and applications. Here, we propose a conceptual methodology to realize erasable patterns based on binary mix-halide perovskite films via a direct photo-patterning technique. Controllable ion migration and photochemical degradation mechanism of iodine-rich regions ensure high-fidelity photoluminescence images with different patterns, sizes, and fast self-erasure time within 5 seconds, yielding erasable photonic cryptography chip, which guarantees the efficient transmission of confidential information and avoids the secondary leakage of information. The ultrafast information encryption, decryption, and erasable processes are attributed to the modulation of the crystallographic orientation of the perovskite film, which lowers the ion migration activation energy and accelerates the ion migration rate. Neural network-assisted multi-level pattern encoding technology with high accuracy and efficiency further enriches the content of the transmitted information and increases the security of the information. This pioneering work provides a strategy and opportunity for the integration of erasable photonic patterning devices based on perovskite materials.

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Publication Details

Journal
Nature Communications
Published
2025-04-07
DOI
https://doi.org/10.1038/s41467-025-58677-7
Citations
16
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
20.81

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article

Direct photo-patterning of halide perovskites toward machine-learning-assisted erasable photonic cryptography

Shuang‐Quan Zang, Mengru Zhang, Yi Hao, Zhaokai Wang et al.
16 citations
Nature Communications
Random lasers and scattering media
20.81
article

Direct photo-patterning of halide perovskites toward machine-learning-assisted erasable photonic cryptography

Shuang‐Quan Zang, Mengru Zhang, Yi Hao, Zhaokai Wang, Yuchen Wu, Lei Jiang, Yu Chen, Yingjie Zhao, Yanlin Song, Haoran Li
article en
16 citations

Abstract

The patterning of perovskites is significant for optical encryption, display, and optoelectronic integrated devices. However, stringent and complex fabrication processes restrict its development and applications. Here, we propose a conceptual methodology to realize erasable patterns based on binary mix-halide perovskite films via a direct photo-patterning technique. Controllable ion migration and photochemical degradation mechanism of iodine-rich regions ensure high-fidelity photoluminescence images with different patterns, sizes, and fast self-erasure time within 5 seconds, yielding erasable photonic cryptography chip, which guarantees the efficient transmission of confidential information and avoids the secondary leakage of information. The ultrafast information encryption, decryption, and erasable processes are attributed to the modulation of the crystallographic orientation of the perovskite film, which lowers the ion migration activation energy and accelerates the ion migration rate. Neural network-assisted multi-level pattern encoding technology with high accuracy and efficiency further enriches the content of the transmitted information and increases the security of the information. This pioneering work provides a strategy and opportunity for the integration of erasable photonic patterning devices based on perovskite materials.

Nature CommunicationsVol. 16(1)
Chinese Academy of Sciences (CN), Suzhou University of Science and Technology (CN), Zhengzhou University (CN), China Academy of Printing Technology (CN), Suzhou Research Institute (CN), Institute of High Energy Physics (AT), Institute of High Energy Physics (CN), Technical Institute of Physics and Chemistry (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Reduced inequalities
Openalex Percentile: Top 0%
Random lasers and scattering media
20.81
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