| 학회 |
한국고분자학회 |
| 학술대회 |
2020년 가을 (10/05 ~ 10/08, 부산컨벤션센터(BEXCO)) |
| 권호 |
45권 1호 |
| 발표분야 |
분자전자 부문위원회 I |
| 제목 |
Enhanced Endurance in Organic Electrochemical Neuromorphic Transistors based on Polythiophene Containing Protonating Groups for Spiking Neural Network Computing |
| 초록 |
As a flavorable candidate for bio-inspired neuromorphic devices, iongel gated electrochemical transistors (ECTs) based on polythiophene (PT) have been demonstrated with the high performance in synaptic behaviors. However, the endurance characteristics of the ECTs with constant current level under programming and erasing (P/E) cyclability which are basic requirement for learning process have not been fully investigated. We found that ECT based on typical PT showed poor endurance with unstable memory state due to an undesirable electrochemical doping in PT by anion. Therefore it was not adoptable for iterative learning in neuromorphic computation. In this work, we propose functionalized PT (Func-PT) with protonating group to stabilize anion by reversible electrochemical reaction according to the applied bias. As a result, the ECT based on Func-PT showed constant memory state under cycling test and high classification accuracy on speech recognition as an iterative learning simulation. |
| 저자 |
김수진1, 정재승2, 장호원1, 주현수2, 임정아1
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| 소속 |
1한국과학기술(연), 2서울대 |
| 키워드 |
Artificial Neural Networks; Neuromorphic Device; Organic Electrochemical transistors; Polythiophene
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| E-Mail |
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