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High-Density Artificial Synapse Array Consisting of Homogeneous Electrolyte-Gated Transistors.

Jun LiYuxing LeiZexin WangHu MengWenkui ZhangMengjiao LiQiuyun TanZeyuan LiWei GuoShengkai WenJianhua Zhang
Published in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
The artificial synapse array with an electrolyte-gated transistor (EGT) as an array unit presents considerable potential for neuromorphic computation. However, the integration of EGTs faces the drawback of the conflict between the polymer electrolytes and photo-lithography. This study presents a scheme based on a lateral-gate structure to realize high-density integration of EGTs and proposes the integration of 100 × 100 EGTs into a 2.5 × 2.5 cm 2 glass, with a unit density of up to 1600 devices cm -2 . Furthermore, an electrolyte framework is developed to enhance the array performance, with ionic conductivity of up to 2.87 × 10 -3  S cm -1 owing to the porosity of zeolitic imidazolate frameworks-67. The artificial synapse array realizes image processing functions, and exhibits high performance and homogeneity. The handwriting recognition accuracy of a representative device reaches 92.80%, with the standard deviation of all the devices being limited to 9.69%. The integrated array and its high performance demonstrate the feasibility of the scheme and provide a solid reference for the integration of EGTs.
Keyphrases
  • high density
  • ionic liquid
  • high resolution
  • high throughput
  • solid state
  • ion batteries
  • machine learning
  • deep learning
  • minimally invasive