TY - JOUR
T1 - Li Promoting Long Afterglow Organic Light-Emitting Transistor for Memory Optocoupler Module
AU - Chen, Yusheng
AU - Wang, Hanlin
AU - Chen, Hu
AU - Zhang, Weimin
AU - Pätzel, Michael
AU - Han, Bin
AU - Wang, Kexin
AU - Xu, Shunqi
AU - Montes-García, Verónica
AU - McCulloch, Iain
AU - Hecht, Stefan
AU - Samorì, Paolo
N1 - Publisher Copyright:
© 2024 The Authors. Advanced Materials published by Wiley-VCH GmbH.
PY - 2024/7/4
Y1 - 2024/7/4
N2 - The artificial brain is conceived as advanced intelligence technology, capable to emulate in-memory processes occurring in the human brain by integrating synaptic devices. Within this context, improving the functionality of synaptic transistors to increase information processing density in neuromorphic chips is a major challenge in this field. In this article, Li-ion migration promoting long afterglow organic light-emitting transistors, which display exceptional postsynaptic brightness of 7000 cd m−2 under low operational voltages of 10 V is presented. The postsynaptic current of 0.1 mA operating as a built-in threshold switch is implemented as a firing point in these devices. The setting-condition-triggered long afterglow is employed to drive the photoisomerization process of photochromic molecules that mimic neurotransmitter transfer in the human brain for realizing a key memory rule, that is, the transition from long-term memory to permanent memory. The combination of setting-condition-triggered long afterglow with photodiode amplifiers is also processed to emulate the human responding action after the setting-training process. Overall, the successful integration in neuromorphic computing comprising stimulus judgment, photon emission, transition, and encoding, to emulate the complicated decision tree of the human brain is demonstrated.
AB - The artificial brain is conceived as advanced intelligence technology, capable to emulate in-memory processes occurring in the human brain by integrating synaptic devices. Within this context, improving the functionality of synaptic transistors to increase information processing density in neuromorphic chips is a major challenge in this field. In this article, Li-ion migration promoting long afterglow organic light-emitting transistors, which display exceptional postsynaptic brightness of 7000 cd m−2 under low operational voltages of 10 V is presented. The postsynaptic current of 0.1 mA operating as a built-in threshold switch is implemented as a firing point in these devices. The setting-condition-triggered long afterglow is employed to drive the photoisomerization process of photochromic molecules that mimic neurotransmitter transfer in the human brain for realizing a key memory rule, that is, the transition from long-term memory to permanent memory. The combination of setting-condition-triggered long afterglow with photodiode amplifiers is also processed to emulate the human responding action after the setting-training process. Overall, the successful integration in neuromorphic computing comprising stimulus judgment, photon emission, transition, and encoding, to emulate the complicated decision tree of the human brain is demonstrated.
KW - electrolyte-based synaptic transistor
KW - long-term memory to permanent memory transition
KW - memory optocoupler modules
KW - organic light-emitting transistors
KW - synaptic light emission
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U2 - 10.1002/adma.202402515
DO - 10.1002/adma.202402515
M3 - Article
C2 - 38616719
AN - SCOPUS:85191090576
SN - 0935-9648
VL - 36
JO - Advanced Materials
JF - Advanced Materials
IS - 27
M1 - 2402515
ER -