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Transparent and Flexible Inorganic Perovskite Photonic Artificial Synapses with Dual‐Mode Operation
Author(s) -
Yang Lin,
Singh Mriganka,
Shen ShinWei,
Chih KeYun,
Liu ShunWei,
Wu ChihI,
Chu ChihWei,
Lin HaoWu
Publication year - 2021
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.202008259
Subject(s) - neuromorphic engineering , materials science , synapse , photonics , plasmon , memristor , neural facilitation , optoelectronics , computer science , nanotechnology , artificial neural network , synaptic plasticity , artificial intelligence , electronic engineering , neuroscience , engineering , biology , biochemistry , receptor
Abstract With the rapid development of artificial intelligence, the simulation of the human brain for neuromorphic computing has demonstrated unprecedented progress. Photonic artificial synapses are strongly desirable owing to their higher neuron selectivity, lower crosstalk, wavelength multiplexing capabilities, and low operating power compared to their electric counterparts. This study demonstrates a highly transparent and flexible artificial synapse with a two‐terminal architecture that emulates photonic synaptic functionalities. This optically triggered artificial synapse exhibits clear synaptic characteristics such as paired‐pulse facilitation, short/long‐term memory, and synaptic behavior analogous to that of the iris in the human eye. Ultraviolet light illumination‐induced neuromorphic characteristics exhibited by the synapse are attributed to carrier trapping and detrapping in the SnO 2 nanoparticles and CsPbCl 3 perovskite interface. Moreover, the ability to detect deep red light without changes in synaptic behavior indicates the potential for dual‐mode operation. This study establishes a novel two‐terminal architecture for highly transparent and flexible photonic artificial synapse that can help facilitate higher integration density of transparent 3D stacking memristors, and make it possible to approach optical learning, memory, computing, and visual recognition.

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