为灵活的边缘神经形态处理器量身定制带式工程电荷陷内存的突触性质
Taehoon Kim1, Jungyeop Oh2, Hyeonji Lee3
1Department of Foundry Engineering, Dankook University, 152 Jukjeon-ro, Yong-in, Gyeonggi-do 16890, Republic of Korea.
ACS applied materials & interfaces
|January 13, 2026
概括
研究人员开发了一种灵活的带式工程充电陷存储器 (BE-CTM) 设备,用于先进的神经形态计算. 这种混合有机-无机材料为处理复杂的生物信号提供了高性能和可靠性.
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:
- 生物信号对于医学,安全和接口技术至关重要,要求高性能内存系统.
- 现有的无机突触装置提供线性,但缺乏灵活性,而有机装置则灵活但不可靠.
- 神经形态突触器件对于处理复杂的生物信号至关重要.
研究的目的:
- 通过开发一种灵活,高性能的神经形态装置来克服当前突触设备的局限性.
- 创建一个混合有机-无机结构,将灵活性与电力强度相结合.
主要方法:
- 开发了一种带式工程充电陷记忆 (BE-CTM) 装置,使用启动化学蒸汽沉积 (iCVD).
- 制造的均混合有机-无机介电层,具有纳米尺度厚度 (≤10 nm) 和可调的组成.
- 通过使用生物学相关的电压脉冲进行了电气和可靠性测试,并进行了系统级模拟.
主要成果:
- 在灵活的条件下,BE-CTM装置表现出优异的突触重量线性和运行稳定性.
- 系统级模拟显示了高识别精度:93.4%的手写数据和95.8%的噪音图像.
- 使用多层感知子 (MLP) 模型进行心电图分类,保持高准确度,电导率更新最小.
结论:
- 开发的BE-CTM设备成功地将机械灵活性与电气强度相结合,用于神经形态应用.
- 这种混合设备显示出下一代神经形态和生物识别信息处理的巨大潜力.
- 通过iCVD方法,可以精确地控制介电层的性能,以实现定制的设备性能.
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