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October 12, 2025Advanced Functional Materials4 citations

Lead‐Free Perovskite Based Self‐Rectifying Memristor with Self‐Organizing Heterojunction for Energy‐Efficient Image Information Sensing, Processing, and Protection

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TCT.C. ChaiCXChenhao XuYWYuchan Wang

Key Points

  • The device shows an ultralow SET power of approximately 16.8 fJ, enabling energy-efficient operations.
  • A high rectification ratio of around 6.2 × 10⁴ is observed, facilitating enhanced functionality in memory arrays.
  • Fast switching capabilities of 30 ns allow for real-time applications, such as image recognition and encryption.
  • The findings suggest a new paradigm for multifunctional devices that combine storage, logic, and computation.

Abstract

Abstract High‐density memory arrays are essential for neuromorphic computing, providing the massive parallelism and connectivity needed to emulate complex brain‐like functions with low energy consumption. Self‐rectifying memristors (SRMs), which combine rectification and resistive switching, effectively address the sneak‐path issue—a key challenge in large‐scale, high‐density 3D integration. However, lead‐free halide perovskite (LFHP)‐based SRMs remain largely unexplored, despite their mixed ionic–electronic conductivity and potential for ultralow‐power operation. Here, the first LFHP CsBi 3 I 10 ‐based SRM with a self‐organizing heterostructure enabled by halide ion migration is reported. The device achieves ultralow SET power (≈16.8 fJ), a high rectification ratio (≈6.2 × 10⁴), and fast switching (30 ns), arising from Ag/iodide vacancy conductive channels and a spontaneously formed pn junction‐like heterojunction. Functionally, the device leverages its characteristics to enable versatile applications. It realizes basic logic gates (OR, AND, XOR), achieves image encryption and reconstruction using keys generated by voltage‐driven stochastic switching, and further exhibits excellent neuromorphic computing capabilities in array configuration, achieving a recognition accuracy of ≈92.08% and supporting real‐time image edge detection. This work establishes a new device/material paradigm for low‐power, multifunctional SRMs that unify storage, logic, encryption, and neuromorphic computing—paving the way for next‐generation AI‐oriented information technologies.

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Cite This Study

Chai et al. (2025) studied this question.

synapsesocial.com/papers/68ec1be02b8fa9b2b78ad1adhttps://doi.org/10.1002/adfm.202522022
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