Kim HoYeon, Lee Kyuho, Zan Guangtao, Shin EunAe, Kim Woojoong, Zhao Kaiying, Jang Gyumin, Moon Jooho, Park Cheolmin
Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea.
Korea Packaging Center, Korea Institute of Industrial Technology, Bucheon 14449, Republic of Korea.
ACS Nano. 2025 Jan 14;19(1):691-703. doi: 10.1021/acsnano.4c11753. Epub 2024 Dec 20.
Physical unclonable functions (PUFs), often referred to as digital fingerprints, are emerging as critical elements in enhancing hardware security and encryption. While significant progress has been made in developing optical and memory-based PUFs, integrating reconfigurability with sensitivity to circularly polarized light (CPL) remains largely unexplored. Here, we present a chiroptical synaptic memristor (CSM) as a reconfigurable PUF, leveraging a two-dimensional organic-inorganic halide chiral perovskite. The device combines CPL sensitivity with photoresponsive electrical behavior, enabling its application in optoneuromorphic systems, as demonstrated by its ability to perform image categorization tasks within neuromorphic computing. Furthermore, by leveraging a 10 × 10 crossbar array of the CSMs, we develop a PUF capable of generating reconfigurable cryptographic keys based on the combination of neuromorphic potentiation and polarized light conditions. This work demonstrates an integrated approach to optoneuromorphic functionality, data storage, and encryption, providing an alternative approach for reconfigurable memristor-based PUFs.
物理不可克隆函数(PUF),通常被称为数字指纹,正成为增强硬件安全性和加密的关键要素。虽然在开发基于光学和存储器的PUF方面已经取得了重大进展,但将可重构性与对圆偏振光(CPL)的敏感性相结合在很大程度上仍未得到探索。在这里,我们展示了一种手性光学突触忆阻器(CSM)作为一种可重构的PUF,它利用了二维有机-无机卤化物手性钙钛矿。该器件将CPL敏感性与光响应电行为相结合,使其能够应用于光神经形态系统,其在神经形态计算中执行图像分类任务的能力证明了这一点。此外,通过利用10×10的CSM交叉阵列,我们开发了一种能够基于神经形态增强和偏振光条件的组合生成可重构加密密钥的PUF。这项工作展示了一种实现光神经形态功能、数据存储和加密的集成方法,为基于可重构忆阻器的PUF提供了一种替代方法。