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生物启发的高性能神经形态器件,通过基于诺基因的电化学离子门来实现

Siyu Sun¹, Yueyan Zhang¹, Zhikang Han¹

¹Frontier Institute of Science and Technology, Interdisciplinary Research Center of Frontier science and technology, State Key Laboratory for Strength and Vibration of Mechanical Structures, Engineering Research Center of Key Materials for Efficient Utilization of Clean Energy of Shaanxi Province, Xi'an Key Laboratory of Electronic Devices and Material Chemistry, Institute of New Concept Sensors and Molecular Materials, Shaanxi Key Laboratory of New Conceptual Sensors and Molecular Materials, Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710054, P.R. China.

Angewandte Chemie (International ed. in English)

|December 23, 2025

概括

研究人员开发了一种生物灵感的电化学神经形态装置 (BEND),使用了一种新的 thienoviologen 电解质. 这种新材料可以实现高效的神经形态计算,模仿高级人工智能应用中的大脑功能.

科学领域:

材料科学材料科学材料科学
神经科学是一个神经科学.
计算机科学计算机科学

背景情况:

神经形态计算旨在复制生物神经网络,需要先进的材料和设备设计.
现有的神经形态设备在稳定性,可调性和模仿复杂的突触功能方面面临挑战.

研究的目的:

为了引入一个新的生物启发电化学神经形态装置 (BEND) 基于一个 thienoviologen 电解质.
评估设备在图像识别方面的性能及其模拟突触功能的能力.

主要方法:

使用基于 thienoviologen 的电解质制造 BEND,通过修改 thiophene 组 (ThV2+) 来修改 viologen.
测试设备的稳定性,电压刺激下的导电性可调性,以及集成到卷积神经网络 (CNN) 中.
评估突触功能的模拟,如峰值时间依赖可塑性 (STDP) 和帕夫洛夫式学习.

主要成果:

丁诺维奥根电解质显示能耗差距减少,稳定性增强,电化学活性改善.
该BEND显示出极好的环境稳定性和可调节的导电性.
在CNN中使用时,在时尚-MNIST数据集上实现了近80%的准确性,并成功模仿了STDP和Pavlovian学习.

结论:

基于 thienoviologen 的材料为神经形态电子提供了重要的潜力.
该BEND设备扩大了viologen材料的功能能力,用于人工突触.
为下一代电化学人工突触提供了新的设计原则.

关键词:

电化学神经形态装置是一种电化学装置.它们是激素的化物.维奥伦的衍生品维奥伦的衍生品

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