Zn/Sn Regulation of Kesterite Synaptic Memristors for Alterable Resistive Switching and Advanced Neuromorphic Functions
In the pursuit of high-performance and reliable next-generation neuromorphic computing systems, the precise modulation of material properties is of crucial significance for enabling advanced brain-inspired functionalities in optoelectronic devices, but still a challenge yet. This study demonstrates that the Zn/Sn ratio in kesterite chalcogenide (Cu<sub>2</sub>ZnSn(S,Se)<sub>4</sub>, CZTSSe) optoelectronic memristors play a pivotal regulatory role in fundamental resistive switching behaviors, as well as the synaptic function simulation and brain-like morphological applications thereof. For a Zn/Sn ratio of 1.1, the device's On/Off ratio (i.e., memory window) can be increased by two-orders-of-magnitude, from 17 at a ratio of 0.7 to 1027, while the Set/Reset voltages significantly reduced to -0.38/0.34 V. Furthermore, under electrical and light (visible 655 nm to near-infrared 808 nm) stimuli, the device can more effectively emulate diverse biological synaptic behaviors, including long-term potentiation/depression (LTP/LTD), short-/long-term memory (STM/LTM), spike-intensity-dependent plasticity (SIDP), spike-duration-dependent plasticity (SDDP), spike-rate-dependent plasticity (SRDP), the "learning-forgetting-consolidation" process, and recapitulation of classical conditioning. Especially, by exploiting the device's NIR-modulated multilevel conductance and its Zn/Sn-dependent On/Off ratio characteristics, high-security signal encryption/decryption and efficient image denoising have been achieved, respectively. These results further highlight the broad application potential of CZTSSe materials in the development of high-performance neuromorphic optoelectronic synaptic devices.
Authors
- Yun Zhao (ORCID: https://orcid.org/0000-0002-4378-5317)
- Jiangtao Chen (ORCID: https://orcid.org/0000-0001-7853-7914)
- Xuqiang Zhang (ORCID: https://orcid.org/0000-0002-2572-6196)
- Xiaofei Dong
- Hao Sun
- Xiang Zhang (ORCID: https://orcid.org/0000-0002-3272-894X)
- Yan Li (ORCID: https://orcid.org/0000-0002-3402-3396)
- Jianbiao Chen (ORCID: https://orcid.org/0000-0003-1407-533X)
- Fengxia Yang
Institutions
- Institute of Molecular Functional Materials (CN)
- Northwest Normal University (CN)
Publication Details
- Journal
- The Journal of Physical Chemistry Letters
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1021/acs.jpclett.5c02780
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.46