Guo Ziyi, Zhang Junyao, Wang Jun, Liu Xu, Guo Pu, Sun Tongrui, Li Li, Gao Huaiyu, Xiong Lize, Huang Jia
School of Materials Science and Engineering, Tongji University, Shanghai 201804, P. R. China.
Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai Fourth People's Hospital Affiliated to Tongji University, Tongji University, Shanghai 200434, P. R. China.
Nano Lett. 2024 May 22;24(20):6139-6147. doi: 10.1021/acs.nanolett.4c01606. Epub 2024 May 9.
Organic transistors based on organic semiconductors together with quantum dots (QDs) are attracting more and more interest because both materials have excellent optoelectronic properties and solution processability. Electronics based on nontoxic QDs are highly desired considering the potential health risks but are limited by elevated surface defects, inadequate stability, and diminished luminescent efficiency. Herein, organic synaptic transistors based on environmentally friendly ZnSe/ZnS core/shell QDs with passivating surface defects are developed, exhibiting optically programmable and electrically erasable characteristics. The synaptic transistors feature linear multibit storage capability and wavelength-selective memory function with a retention time above 6000 s. Various neuromorphic applications, including memory enhancement, optical communication, and memory consolidation behaviors, are simulated. Utilizing an established neuromorphic model, accuracies of 92% and 91% are achieved in pattern recognition and complicated electrocardiogram signal processing, respectively. This research highlights the potential of environmentally friendly QDs in neuromorphic applications and health monitoring.
基于有机半导体与量子点(QD)的有机晶体管正吸引着越来越多的关注,因为这两种材料都具有优异的光电特性和溶液可加工性。考虑到潜在的健康风险,基于无毒量子点的电子产品备受期待,但却受到表面缺陷增加、稳定性不足和发光效率降低的限制。在此,开发了基于具有钝化表面缺陷的环境友好型ZnSe/ZnS核壳量子点的有机突触晶体管,其具有光学可编程和电可擦除特性。这些突触晶体管具有线性多位存储能力和波长选择性存储功能,保持时间超过6000秒。模拟了各种神经形态应用,包括记忆增强、光通信和记忆巩固行为。利用已建立的神经形态模型,在模式识别和复杂心电图信号处理中分别实现了92%和91%的准确率。这项研究突出了环境友好型量子点在神经形态应用和健康监测中的潜力。