An ultrasmall organic synapse for neuromorphic computing

Author:

Liu ShuzhiORCID,Zeng Jianmin,Wu Zhixin,Hu Han,Xu Ao,Huang Xiaohe,Chen Weilin,Chen Qilai,Yu Zhe,Zhao Yinyu,Wang Rong,Han Tingting,Li Chao,Gao Pingqi,Kim Hyunwoo,Baik Seung Jae,Zhang RuoyuORCID,Zhang ZhangORCID,Zhou PengORCID,Liu GangORCID

Abstract

AbstractHigh‐performance organic neuromorphic devices with miniaturized device size and computing capability are essential elements for developing brain‐inspired humanoid intelligence technique. However, due to the structural inhomogeneity of most organic materials, downscaling of such devices to nanoscale and their high‐density integration into compact matrices with reliable device performance remain challenging at the moment. Herein, based on the design of a semicrystalline polymer PBFCL10 with ordered structure to regulate dense and uniform formation of conductive nanofilaments, we realize an organic synapse with the smallest device dimension of 50 nm and highest integration size of 1 Kb reported thus far. The as‐fabricated PBFCL10 synapses can switch between 32 conductance states linearly with a high cycle‐to‐cycle uniformity of 98.89% and device‐to‐device uniformity of 99.71%, which are the best results of organic devices. A mixed-signal neuromorphic hardware system based on the organic neuromatrix and FPGA controller is implemented to execute spiking‐plasticity‐related algorithm for decision-making tasks.

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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