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Abstract:
Multifunctional neuromorphic devices, integrating the acquisition, computation, and processing of information, have exceptional advantages to simulate biological behaviors and become one of the foundations of future neuromorphic computing. However, the realization of sensor-memory-calculation in a single device remains a great challenge. Herein, memory-synaptic hybrid optoelectronic transistors were developed with hydrolyzed silica-coated lead-free double perovskite Cs2AgBiBr6 and organic semiconductors, which exhibited sensor-memory-calculation behavior. This work offers a novel strategy for constructing multifunctional neuromorphic devices, which will further inspire the development of floating-gate device in future neuromorphic computing.
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IEEE TRANSACTIONS ON ELECTRON DEVICES
ISSN: 0018-9383
Year: 2022
Issue: 7
Volume: 69
Page: 3997-4001
3 . 1
JCR@2022
2 . 9 0 0
JCR@2023
ESI Discipline: ENGINEERING;
ESI HC Threshold:66
JCR Journal Grade:2
CAS Journal Grade:2
Cited Count:
WoS CC Cited Count: 13
SCOPUS Cited Count: 8
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 0
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