Memristive synapse based on perovskite Cs3Cu2I5 for reservoir computing
Perovskite memristors have attracted considerable attention for their potential in emulating artificial synapses. However, the widespread use of the toxic lead-based perovskites poses significant challenges to futural application. In this work, we developed a lead-free memristor with an Ag/PMMA/Cs3Cu2I5/ITO architecture, in which the Cs3Cu2I5 halide perovskites functional layer was fabricated by physical vapor deposition. The memristor demonstrated a data retention time of 104 s and stable resistive switching behavior over 100 cycles under electrical pulses stimulation. Furthermore, it emulated a range of biologically relevant synaptic functions, including paired-pulse facilitation, short-term plasticity, long-term plasticity, spike-amplitude-dependent plasticity, spike-number-dependent plasticity, and spike-duration-dependent plasticity. Capitalizing on its nonlinear dynamics and short-term memory characteristics, the device was further integrated into a reservoir computing (RC) system. The RC system demonstrated strong recognition performance and robustness when tested with distorted digital image datasets. These results suggest that the Cs3Cu2I5-based memristor provides a promising, environmentally friendly platform for next-generation artificial intelligence hardware.
Authors
- Xinman Chen (ORCID: https://orcid.org/0000-0003-0712-7998)
- Hong Zhou (ORCID: https://orcid.org/0000-0002-5946-9183)
- Yin Zheng
- Yao Meng (ORCID: https://orcid.org/0009-0001-2491-3803)
- Jinwen Lin
- Bin Li (ORCID: https://orcid.org/0000-0001-9953-208X)
- Jiang Wu
Institutions
- Hunan University (CN)
- South China Normal University (CN)
Publication Details
- Journal
- Applied Physics Letters
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1063/5.0281204
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Planning Project of Guangdong Province