Lead-Free Cs <sub>3</sub> BiBr <sub>6</sub> Perovskite Memristor for Biomimetic Nociceptor Emulation and Information Encryption
Driven by the demand for device multifunctionality in fields such as neuromorphic computing, biomimetic sensing, and information security, memristors have become a research focus due to their dual capabilities of data storage and signal processing. Herein, a Cs<sub>3</sub>BiBr<sub>6</sub> lead-free perovskite memristor with a sandwich structure of Ag/PMMA/Cs<sub>3</sub>BiBr<sub>6</sub>/ITO is fabricated and systematically investigated. Under a low current compliance of 1 mA, the device demonstrates stable bipolar resistive switching behavior, including over 800 switching cycles, an average on/off ratio greater than 20, and good data retention. At 10 mA, random high-resistance state distribution enables construction of a true random number array. The switching mechanism is dominated by Ag atoms and bromide vacancies driving conductive filaments fracture-regeneration. Moreover, the device emulates the nociceptor function in biological systems, achieving graded stimulus discrimination and postinjury hyperalgesia reproduction. Additionally, OR/AND/XOR logic gates are constructed via bipolar resistive switching, with digital information and image encryption/decryption realized via the integration of the random key matrix.
Authors
- Kailiang Zhang (ORCID: https://orcid.org/0000-0001-5593-7480)
- Yuchan Wang (ORCID: https://orcid.org/0000-0001-8631-3662)
- Xu Han (ORCID: https://orcid.org/0000-0002-8967-4372)
- Wenxia Zhang (ORCID: https://orcid.org/0000-0003-2280-5734)
- Shiming Zhao (ORCID: https://orcid.org/0000-0001-9532-2587)
- Ting Chen (ORCID: https://orcid.org/0009-0008-6984-6254)
- T.C. Chai
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Tianjin University of Technology (CN)
Publication Details
- Journal
- The Journal of Physical Chemistry Letters
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1021/acs.jpclett.5c02632
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.46