Li Promoting Long Afterglow Organic Light‐Emitting Transistor for Memory Optocoupler Module

Author:

Chen Yusheng1,Wang Hanlin2,Chen Hu3,Zhang Weimin4,Pätzel Michael5,Han Bin1,Wang Kexin1,Xu Shunqi1,Montes‐García Verónica1,McCulloch Iain46,Hecht Stefan57,Samorì Paolo1ORCID

Affiliation:

1. Université de Strasbourg CNRS ISIS 8 allée Gaspard Monge Strasbourg 67000 France

2. Beijing National Laboratory for Molecular Sciences Key Laboratory of Organic Solids Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China

3. School of Physical Sciences Great Bay University Dongguan 523000 China

4. Physical Sciences and Engineering Division KAUST Solar Center (KSC) King Abdullah University of Science and Technology (KAUST) KSC Thuwal 23955‐6900 Saudi Arabia

5. Department of Chemistry & Center for the Science of Materials Berlin Humboldt‐Universität zu Berlin Brook‐Taylor‐Str. 2 12489 Berlin Germany

6. University of Oxford Department of Chemistry Oxford OX1 3TA UK

7. DWI – Leibniz Institute for Interactive Materials Forckenbeckstr. 50 52074 Aachen Germany

Abstract

AbstractThe 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.

Funder

Agence Nationale de la Recherche

Deutsche Forschungsgemeinschaft

Engineering and Physical Sciences Research Council

Publisher

Wiley

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