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Synaptic Plasticity and Filtering Emulated in Metal–Organic Frameworks Nanosheets Based Transistors
Author(s) -
Ding Guanglong,
Yang Baidong,
Zhou Kui,
Zhang Chen,
Wang Yaxin,
Yang JiaQin,
Han SuTing,
Zhai Yongbiao,
Roy Vellaisamy A. L.,
Zhou Ye
Publication year - 2020
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.201900978
Subject(s) - materials science , neural facilitation , neuromorphic engineering , long term potentiation , optoelectronics , synaptic plasticity , transistor , nanotechnology , voltage , computer science , electrical engineering , artificial neural network , artificial intelligence , biochemistry , chemistry , receptor , engineering
Two‐dimensional (2D) metal–organic frameworks (MOFs) are widely used in a variety of mature applications, including catalysis, drug delivery, and sensors. Based on their highly accessible active sites, 2D MOFs are expected to be good charge trapping elements. Using 2D MOF, Zn‐TCPP (TCPP: tetrakis(4‐carboxyphenyl)porphyrin), as charge trapping materials by a simple solution process, a three‐terminal synaptic device which can realize the learning functions and signal transmission simultaneously is firstly fabricated. The as‐fabricated synaptic device exhibits ambipolar charge carrier trapping performance, large current on /current off ratio (>10 3 ) and excellent endurance (500 cycle times). Moreover, the common biological synaptic behaviors, including postsynaptic current under different temperature, pulse duration time and pulse voltage, paired‐pulse facilitation, paired‐pulse depression, spiking rate dependent plasticity, dynamic filtering, transition from short‐term potentiation to long‐term potentiation, learning–forgetting–relearning process, are successfully simulated using our synaptic transistor. This research is highly relevant for broadening the application range of 2D MOFs and has important enlightenment for future neuromorphic computing.