Self-Powered Halide Perovskite Optoelectronic Synaptic Memristors for Reconfigurable Logic and Reservoir Computing Applications
The development of low-power neuromorphic systems requires the integration of sensing, logic operations, neuromorphic computing, and energy autonomy. Herein, we present a triple-cation and triple-anion perovskite-based (p-type/intrinsic/n-type) p-i-n optoelectronic memristor array that synergistically combines these functions. The device's inherent photovoltaic effect (∼0.8 V) enables self-powered optical synaptic plasticity at 520 nm, eliminating external biasing for near-zero power consumption. By coupling this intrinsic photovoltaic bias with tunable external voltages, we demonstrate four reconfigurable Boolean logic operations (NOT, XOR, NAND, IMPLY). Furthermore, a reservoir computing (RC) system for neuromorphic pattern recognition is implemented by leveraging the plasticity of the perovskite memristor, achieving classification accuracies of 97.94% for 1-bit and 90.73% for 4-bit handwritten digit recognition. The self-powered memristor integrating optical synapses, digital logic, and neuromorphic functionalities provide new paradigms for developing next-generation low-power, high-density integrated circuits with hybrid digital-analog architectures.
Authors
- Zhenhua Lin (ORCID: https://orcid.org/0000-0002-2965-1769)
- Dongsheng Cui (ORCID: https://orcid.org/0009-0001-8651-4373)
- Pusheng Guo
- Yumeng Xu (ORCID: https://orcid.org/0000-0001-8697-3505)
- Wei Wei (ORCID: https://orcid.org/0000-0002-9701-3742)
- Jincheng Zhang (ORCID: https://orcid.org/0000-0001-7332-6704)
- Jingjing Chang (ORCID: https://orcid.org/0000-0003-3773-182X)
- Xing Guo (ORCID: https://orcid.org/0009-0008-9820-5886)
- Xiangxiang Gao (ORCID: https://orcid.org/0000-0003-4402-9764)
- Yue Hao (ORCID: https://orcid.org/0000-0001-8131-7509)
Institutions
- Xidian University (CN)
- Advanced Pharma (US)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1021/acs.nanolett.5c04297
- Citations
- 4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.92