Reservoir computing for image processing based on ion-gated flexible organic transistors with nonlinear synaptic dynamics

作     者：Zhu, Li Wan, Xiang Lin, Junchen Chen, Pengyu Luo, Zhongzhong Sun, Huabin Yan, Shancheng Tan, Chee Leong Yu, Zhihao Xu, Yong 

作者机构：Nanjing Univ Posts & Telecommun Coll Integrated Circuit Sci & Engn Nanjing 210023 Peoples R China Guangdong Greater Bay Area Inst Integrated Circuit Guangzhou 510535 Peoples R China Nanjing Univ Posts & Telecommun Coll Elect & Opt Engn Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun Coll Flexible Elect Future Technol State Key Lab Organ Elect & Informat Displays Nanjing 210023 Peoples R China 

出 版 物：《ORGANIC ELECTRONICS》 (Org. Electron)

年 卷 期：2025年第139卷

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：National Key R & D Program of China [2024YFB4405300] National Natural Science Foundation of China [62404109, 62204124, T2322014] Natural Science Foundation of Jiangsu Province [BK20240638] Natural Science Foundation of the Jiangsu Higher Education Institutions of China [23KJB510014] Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing Univer-sity of Posts and Telecommunications [NY222061] Province Research and Development in Key Fields from Guangdong Greater Bay Area Institute of Integrated Circuit and System [2021B0101280002] Guangzhou City Research and Development Program in Key Field 

主　　题：Flexible organic transistor Artificial synapse Electric-double-layer Reservoir computing 

摘      要：Reservoir Computing (RC) is an efficient framework for processing sequential data. It captures the dynamic features of complex data through high-dimensional mapping, significantly enhancing machine learning capability. However, due to the lack of suitable materials and device fabrication processes, developing highly energyefficient, flexible, and wearable RC systems remains a challenging task. In this paper, flexible ion-gated transistors were fabricated by spin-coating process at room temperature, utilizing polyimide (PI) as the flexible substrate, polyvinyl alcohol (PVA) doped with lithium perchlorate (LiClO4) as the gate dielectric, and poly [(bithiophene)-alternate-(2,5-di(2-octyldodecyl)-3,6-di(thienyl)-pyrrolyl pyrrolidone)] (DPPT-TT) as the organic semiconductor. Based on the electric double-layer (EDL) coupling in ion-gated transistors and the rich ionic dynamics, the device can simulate nonlinear synaptic functions such as excitatory postsynaptic current (EPSC), multi-pulse facilitation, and learning-forgetting-relearning behaviors. Based on the transistors nonlinear synaptic functions, the constructed RC system can enhance image features while reducing the image size by half, effectively extracting and amplifying hidden features in the original images. In the handwritten digit recognition task, the RC system improved the recognition rate from 79.8 % to 90.6 %, compared to an Artificial Neural Network (ANN) of the same scale. The effective combination of flexible organic ion-gated transistors and the RC framework will undoubtedly contribute to the further development of the next generation of wearable intelligent systems.