Photoferroelectric Perovskite Synapses for Neuromorphic Computing

doi:10.1002/adfm.202309910

	Photoferroelectric Perovskite Synapses for Neuromorphic Computing
	Han, Shuangshuang 2; Ma, Ting 2; Li, Hui 2; Wu, Jiale 2; Liu, Rong 2; Cao, Ruirui 2; Li, Fumin 2; Li, Huilin 2; Chen, Chong 1,2
刊名	ADVANCED FUNCTIONAL MATERIALS
	2023-10-03
关键词	memristor neuromorphic computing perovskite photoferroelectricity synapse
ISSN号	1616-301X
DOI	10.1002/adfm.202309910
通讯作者	Li, Huilin(leehl@henu.edu.cn) ; Chen, Chong(cchen@issp.ac.cn)
英文摘要	Halide perovskite is an emerging material with excellent optoelectronic properties, and also widely used in neuromorphic devices. Recently, halide perovskite has been redefined as exhibiting extraordinary multifunction, e.g., photoferroelectricity. Herein, this work employs a composite material consisting of halide perovskite and organic ferroelectric material to develop a new photoferroelectric synapse, and the photoferroelectricity and some synaptic plasticity are investigated. By the corresponding test analysis, it is demonstrated that photoelectricity and ferroelectricity can reinforce each other in this photoferroelectric composite material. Versatile synaptic behaviors of the nervous system, including paired-pulse facilitation/paired-pulse depression, post-tetanic potentiation /post-tetanic depression, and spiking-rate-dependent plasticity, are successfully simulated. Particularly, the classical conditioning in Pavlov's dog experiment can be replicated in the photoferroelectric synapse to realize the learning function of the brain, including memory loss and recovery. This work could be conducive to the application of multifunctional perovskite materials in synapse devices and neuromorphic computing. This work employs a composite material consisting of halide perovskite and organic ferroelectric material to develop a new photoferroelectric synapse, and the photoferroelectricity and some synaptic plasticity are investigated. The classical conditioning in Pavlov's dog experiment can be replicated in the photoferroelectric synapse to realize the learning function of the brain, including memory loss and recovery.image
资助项目	This study was funded by the Natural Science Foundation of China (Grant Nos 52002373, 52003074 and 62174049), National Science Fund for Excellent Young Scholars of Henan Province (Grant No. 222300420033), Natural Science Foundation for Young Scientists of[52002373] ; This study was funded by the Natural Science Foundation of China (Grant Nos 52002373, 52003074 and 62174049), National Science Fund for Excellent Young Scholars of Henan Province (Grant No. 222300420033), Natural Science Foundation for Young Scientists of[52003074] ; This study was funded by the Natural Science Foundation of China (Grant Nos 52002373, 52003074 and 62174049), National Science Fund for Excellent Young Scholars of Henan Province (Grant No. 222300420033), Natural Science Foundation for Young Scientists of[62174049] ; Natural Science Foundation of China[222300420033] ; National Science Fund for Excellent Young Scholars of Henan Province[202300410071] ; Natural Science Foundation for Young Scientists of Henan Province[202101026] ; Postdoctoral Research Grant in Henan Province ; Young Talents Program of Henan University
WOS研究方向	Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
语种	英语
出版者	WILEY-V C H VERLAG GMBH
WOS记录号	WOS:001074001900001
资助机构	This study was funded by the Natural Science Foundation of China (Grant Nos 52002373, 52003074 and 62174049), National Science Fund for Excellent Young Scholars of Henan Province (Grant No. 222300420033), Natural Science Foundation for Young Scientists of ; Natural Science Foundation of China ; National Science Fund for Excellent Young Scholars of Henan Province ; Natural Science Foundation for Young Scientists of Henan Province ; Postdoctoral Research Grant in Henan Province ; Young Talents Program of Henan University
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/132628]
专题	中国科学院合肥物质科学研究院
通讯作者	Li, Huilin; Chen, Chong
作者单位	1.Chinese Acad Sci, Inst Solid State Phys, Hefei 230031, Peoples R China 2.Henan Univ, Sch Future Technol, Zhengzhou 450018, Peoples R China
推荐引用方式 GB/T 7714	Han, Shuangshuang,Ma, Ting,Li, Hui,et al. Photoferroelectric Perovskite Synapses for Neuromorphic Computing[J]. ADVANCED FUNCTIONAL MATERIALS,2023.
APA	Han, Shuangshuang.,Ma, Ting.,Li, Hui.,Wu, Jiale.,Liu, Rong.,...&Chen, Chong.(2023).Photoferroelectric Perovskite Synapses for Neuromorphic Computing.ADVANCED FUNCTIONAL MATERIALS.
MLA	Han, Shuangshuang,et al."Photoferroelectric Perovskite Synapses for Neuromorphic Computing".ADVANCED FUNCTIONAL MATERIALS (2023).