All‐Photolithography Fabrication of Ion‐Gated Flexible Organic Transistor Array for Multimode Neuromorphic Computing

Author:

Liu Xu1,Dai Shilei1,Zhao Weidong2,Zhang Junyao1,Guo Ziyi1,Wu Yue1,Xu Yutong1,Sun Tongrui1,Li Li1,Guo Pu1,Yang Jie1,Hu Huawei3,Zhou Junhe2,Zhou Peng4,Huang Jia15ORCID

Affiliation:

1. School of Materials Science and Engineering Tongji University Shanghai 201804 P. R. China

2. School of Electronic and Information Engineering Tongji University Shanghai 201804 P. R. China

3. State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Shanghai 201620 P. R. China

4. State Key Laboratory of ASIC and System School of Microelectronics Zhangjiang Fudan International Innovation Center Fudan University Shanghai 200433 P. R. China

5. National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai 201804 P. R. China

Abstract

AbstractOrganic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials to organic solvents, efficient and reliable all‐photolithography methods for scalable manufacturing of high‐density OIGT arrays with multimode neuromorphic functions are still missing, especially when all active layers are patterned in high‐density. Here, a flexible high‐density (9662 devices per cm2) OIGT array with high yield and minimal device‐to‐device variation is fabricated by a modified all‐photolithography method. The unencapsulated flexible array can withstand 1000 times’ bending at a radius of 1 mm, and 3 months’ storage test in air, without obvious performance degradation. More interesting, the OIGTs can be configured between volatile and nonvolatile modes, suitable for constructing reservoir computing systems to achieve high accuracy in classifying handwritten digits with low training costs. This work proposes a promising design of organic and flexible electronics for affordable neuromorphic systems, encompassing both array and algorithm aspects.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

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