Liu Jing-Yan, Zhang Xiang-Hong, Fang Hua, Zhang Shu-Quan, Chen Yong, Liao Qing, Chen Hong-Ming, Chen Hui-Peng, Lin Mei-Jin
Key Laboratory of Molecule Synthesis and Function Discovery, and Fujian Provincial Key Laboratory of Advanced Inorganic Oxygenated Materials, College of Chemistry, Fuzhou University, Fuzhou, 350116, P. R. China.
Institure of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, 350002, P. R. China.
Small. 2023 Nov;19(44):e2302197. doi: 10.1002/smll.202302197. Epub 2023 Jul 4.
Synaptic devices that mimic biological synapses are considered as promising candidates for brain-inspired devices, offering the functionalities in neuromorphic computing. However, modulation of emerging optoelectronic synaptic devices has rarely been reported. Herein, a semiconductive ternary hybrid heterostructure is prepared with a D-D'-A configuration by introducing polyoxometalate (POM) as an additional electroactive donor (D') into a metalloviologen-based D-A framework. The obtained material features an unprecedented porous 8-connected bcu-net that accommodates nanoscale [α-SiW O ] counterions, displaying uncommon optoelectronic responses. Besides, the fabricated synaptic device based on this material can achieve dual-modulation of synaptic plasticity due to the synergetic effect of electron reservoir POM and photoinduced electron transfer. And it can successfully simulate learning and memory processes similar to those in biological systems. The result provides a facile and effective strategy to customize multi-modality artificial synapses in the field of crystal engineering, which opens a new direction for developing high-performance neuromorphic devices.
模拟生物突触的突触器件被认为是受大脑启发的器件的有前途的候选者，可提供神经形态计算中的功能。然而，新兴的光电突触器件的调制鲜有报道。在此，通过将多金属氧酸盐（POM）作为额外的电活性供体（D'）引入基于金属紫精的D-A框架中，制备了具有D-D'-A构型的半导体三元混合异质结构。所获得的材料具有前所未有的多孔8连接bcu网络，可容纳纳米级[α-SiW O ]抗衡离子，表现出罕见的光电响应。此外，基于这种材料制造的突触器件由于电子储存库POM和光致电子转移的协同效应，可以实现突触可塑性的双重调制。并且它可以成功模拟类似于生物系统中的学习和记忆过程。该结果为晶体工程领域定制多模态人工突触提供了一种简便有效的策略，为开发高性能神经形态器件开辟了新方向。
