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阵列级MXene电极灵活的长期可塑性突触晶体管

Zifan Wang¹, Jiahao Zhu¹, Dexing Liu^1,2

¹School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China.

Materials horizons

|June 10, 2025

概括

研究人员使用MXene电极开发了新的灵活的突触晶体管,实现了高效的人工神经系统的长期可塑性. 这一突破使高级应用程序的高速,低功耗的神经形态计算成为可能.

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.
电气工程电气工程

背景情况:

人工神经系统设备旨在复制大脑功能,用于先进的计算.
灵活的突触晶体管对于模拟神经通路至关重要,但面临着整合和物质挑战.
现有的技术与长期的可塑性和大规模生产作斗争.

研究的目的:

开发具有长期可塑性的高集成性灵活的突触晶体管阵列.
克服当前人工神经系统设备的结构和材料限制.
为了实现高效的神经形态计算和时间融合信息存储.

主要方法:

新型阵列级MXene电极柔性突触晶体管的制造.
使用Ti3C2Tx MXene电极进行质子诱导的介电缺陷填充,以实现可塑性.
采用MXene电极图案,在柔性基板上实现高集成.
通过MXene和碳纳米管之间的匹配工作功能实现欧姆接触.

主要成果:

在没有复杂结构的情况下,长期突触可塑性超过1000秒.
在灵活的基板上实现了高集成和数组级模式.
开发了一个MXene电极柔性突触晶体管 (MEFST) 阵列.
在手写数字识别中获得了93.8%的准确性,展示了时间融合能力.

结论:

新的MEFST阵列为人工神经形态计算提供了一个可行的平台.
长期的可塑性使得能够快速识别目标和无需重复的识别.
潜在的应用包括神经形态电子皮肤,智能可穿戴设备和边缘计算.

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