Spatiotemporal Self‐Encrypted Interlock‐Cascade‐Hashing Optical Storage Based on Multicolor Photochromic Lithographic Array

Continuing deve7lopments in artificial intelligence and quantum computing challenge the information security of physical assets and intellectual property. Photochromic materials have emerged as promising candidates for optical encryption and storage applications due to their intrinsic reversible, real-time light absorption modulation capability. Although all-inorganic devices exhibit pronounced stability and fatigue resistance, single-component multicolor photochromic systems remain exceedingly rare. Here, a multicolor photochromic phenomenon is reported in PbMoO<sub>4</sub> microcrystal, demonstrating both volatility and non-volatility through distinct photochromic channels. The input, output, and control signals of this material are all different wavelengths of light, which operate in an all-optical and non-destructive manner. Moreover, the all-solid-state nature of PbMoO<sub>4</sub> ensures its stable modulation capability after multiple photoresponse cycles with upconversion luminescence modulation up to 99%. By combining experimental characterizations with ab-initio molecular dynamics (AIMD) simulations, the mechanisms of each photochromic channel are revealed. Employing lithography and mask patterning, on-chip arrays are fabricated to demonstrate the feasibility of spatiotemporal self-encrypted optical information storage and interlock-cascade-hashing encryption. This work holds significant promise for advancing anti-cloning and anti-cracking technologies for high-value devices, assets, and information.

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Publication Details

Journal
Advanced Materials
Published
2025-10-01
DOI
https://doi.org/10.1002/adma.202506247
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46
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article

Spatiotemporal Self‐Encrypted Interlock‐Cascade‐Hashing Optical Storage Based on Multicolor Photochromic Lithographic Array

Ji Zhou, Asif Ali Haider, Yangke Cun, Zhiguo Song et al.
2 citations
Advanced Materials
Advanced Memory and Neural Computing
1.46
article

Spatiotemporal Self‐Encrypted Interlock‐Cascade‐Hashing Optical Storage Based on Multicolor Photochromic Lithographic Array

Ji Zhou, Asif Ali Haider, Yangke Cun, Zhiguo Song, Zhengwen Yang, Ting Xu, Haiyang Niu, Yueteng Zhang, Jianbei Qiu, Jiayan Liao, Anjun Huang, Xinhao Cai, Yingzhu Zi, Mingze Liu, Yue Liu, Rongbao Feng, Zan Xu, Xue Bai, Chenchen Yang, Zeyulong Wen
article en
2 citations

Abstract

Continuing deve7lopments in artificial intelligence and quantum computing challenge the information security of physical assets and intellectual property. Photochromic materials have emerged as promising candidates for optical encryption and storage applications due to their intrinsic reversible, real-time light absorption modulation capability. Although all-inorganic devices exhibit pronounced stability and fatigue resistance, single-component multicolor photochromic systems remain exceedingly rare. Here, a multicolor photochromic phenomenon is reported in PbMoO<sub>4</sub> microcrystal, demonstrating both volatility and non-volatility through distinct photochromic channels. The input, output, and control signals of this material are all different wavelengths of light, which operate in an all-optical and non-destructive manner. Moreover, the all-solid-state nature of PbMoO<sub>4</sub> ensures its stable modulation capability after multiple photoresponse cycles with upconversion luminescence modulation up to 99%. By combining experimental characterizations with ab-initio molecular dynamics (AIMD) simulations, the mechanisms of each photochromic channel are revealed. Employing lithography and mask patterning, on-chip arrays are fabricated to demonstrate the feasibility of spatiotemporal self-encrypted optical information storage and interlock-cascade-hashing encryption. This work holds significant promise for advancing anti-cloning and anti-cracking technologies for high-value devices, assets, and information.

Advanced MaterialsVol. 38(9)
Kunming University of Science and Technology (CN), University of Technology Sydney (AU), Donghua University (CN), Yunnan University (CN), National Engineering Research Center of Electromagnetic Radiation Control Materials (CN), Collaborative Innovation Center of Advanced Microstructures (CN), Kunming Institute of Precious Metals (CN), Tsinghua University (CN)
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
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