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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zn/Sn Regulation of Kesterite Synaptic Memristors for Alterable Resistive Switching and Advanced Neuromorphic Functions

Yun Zhao, Jiangtao Chen, Xuqiang Zhang, Xiaofei Dong et al.
2 citations
The Journal of Physical Chemistry Letters
Advanced Memory and Neural Computing
1.46
article

Zn/Sn Regulation of Kesterite Synaptic Memristors for Alterable Resistive Switching and Advanced Neuromorphic Functions

Yun Zhao, Jiangtao Chen, Xuqiang Zhang, Xiaofei Dong, Hao Sun, Xiang Zhang, Yan Li, Jianbiao Chen, Fengxia Yang
article en
2 citations

Abstract

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.

The Journal of Physical Chemistry LettersVol. 16(42)
Institute of Molecular Functional Materials (CN), Northwest Normal University (CN)
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.