Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots

The traditional von Neumann architecture encounters significant limitations in computational efficiency and energy consumption, driving the development of neuromorphic devices. The optoelectronic synaptic device serves as a fundamental hardware foundation for the realization of neuromorphic computing and plays a pivotal role in the development of neuromorphic chips. This study develops a ternary heterojunction synaptic transistor based on perovskite quantum dots to tackle the critical challenge of synaptic weight modulation in organic synaptic devices. Compared to binary heterojunction synaptic transistor, the ternary heterojunction synaptic transistor achieves an enhanced hysteresis window due to the synergistic charge-trapping effects of acceptor material and perovskite quantum dots. The memory window decreases with increasing source-drain voltage (V<sub>DS</sub>) but expands with prolonged program/erase time, demonstrating effective carrier trapping modulation. Furthermore, the device successfully emulates typical photonic synaptic behaviors, including excitatory postsynaptic currents (EPSCs), paired-pulse facilitation (PPF), and the transition from short-term plasticity (STP) to long-term plasticity (LTP). This work provides a simplified strategy for high-performance optoelectronic synaptic transistors, showcasing significant potential for neuromorphic computing and adaptive intelligent systems.

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Publication Details

Journal
Nanomaterials
Published
2025-05-01
DOI
https://doi.org/10.3390/nano15090688
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

Funders

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Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots

Chen Wu, Shuqiong Lan, Jianxiao Si, Wangying Xu et al.
1 citations
Nanomaterials
Advanced Memory and Neural Computing
0.73
article

Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots

Chen Wu, Shuqiong Lan, Jianxiao Si, Wangying Xu, Lan Yang, Jierui Lin
article en
1 citations

Abstract

The traditional von Neumann architecture encounters significant limitations in computational efficiency and energy consumption, driving the development of neuromorphic devices. The optoelectronic synaptic device serves as a fundamental hardware foundation for the realization of neuromorphic computing and plays a pivotal role in the development of neuromorphic chips. This study develops a ternary heterojunction synaptic transistor based on perovskite quantum dots to tackle the critical challenge of synaptic weight modulation in organic synaptic devices. Compared to binary heterojunction synaptic transistor, the ternary heterojunction synaptic transistor achieves an enhanced hysteresis window due to the synergistic charge-trapping effects of acceptor material and perovskite quantum dots. The memory window decreases with increasing source-drain voltage (V<sub>DS</sub>) but expands with prolonged program/erase time, demonstrating effective carrier trapping modulation. Furthermore, the device successfully emulates typical photonic synaptic behaviors, including excitatory postsynaptic currents (EPSCs), paired-pulse facilitation (PPF), and the transition from short-term plasticity (STP) to long-term plasticity (LTP). This work provides a simplified strategy for high-performance optoelectronic synaptic transistors, showcasing significant potential for neuromorphic computing and adaptive intelligent systems.

NanomaterialsVol. 15(9)
Jimei University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Jimei University
Affordable and clean energy
Openalex Percentile: Top 29%
Advanced Memory and Neural Computing
0.73
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Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots — Chen Wu, Shuqiong Lan, et al. · Nanomaterials (2025) | TGRS Research Map | TGRS