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High‐Density Artificial Synapse Array Consisting of Homogeneous Electrolyte‐Gated Transistors

Jun LiKey Laboratory of Advanced Display and System Applications Ministry of Education Shanghai University Shanghai 200072 P. R. ChinaYuxing LeiSchool of Material Science and Engineering Shanghai University Jiading Shanghai 201800 P. R. ChinaZexin WangSchool of Material Science and Engineering Shanghai University Jiading Shanghai 201800 P. R. ChinaHu MengCentral Research Institute BOE Technology Group Company, Ltd. Beijing 100176 P. R. ChinaWenkui ZhangSchool of Microelectronics Shanghai University Jiading Shanghai 201800 P. R. ChinaMengjiao LiSchool of Microelectronics Shanghai University Jiading Shanghai 201800 P. R. ChinaQiuyun TanCentral Research Institute BOE Technology Group Company, Ltd. Beijing 100176 P. R. ChinaZeyuan LiCentral Research Institute BOE Technology Group Company, Ltd. Beijing 100176 P. R. ChinaWei GuoCentral Research Institute BOE Technology Group Company, Ltd. Beijing 100176 P. R. ChinaShengkai WenSchool of Material Science and Engineering Shanghai University Jiading Shanghai 201800 P. R. ChinaJianhua ZhangKey Laboratory of Advanced Display and System Applications Ministry of Education Shanghai University Shanghai 200072 P. R. China
2023en
ABI

Аннотация

Abstract 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.

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