一个热工程NbOx记忆器与CdTe2介层,用于高精度的心电图心律失常检测
Yunlai Zhu1, Chaotong Xie1, Zhongren Ye1
1School of Integrated Circuits, Anhui University, Hefei, Anhui, 230601, China. zack@ahu.edu.cn.
Materials horizons
|February 9, 2026
概括
氧化记忆器显示了使用CdTe2介层进行神经形态计算的稳定性. 这种结构增强了开关稳定性,并使精确的心电图心律失常检测成为可能,为先进的硬件铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 神经科学是一个神经科学.
背景情况:
- 基于氧化 (NbOx) 的值切换记忆器 (TSM) 对神经形态计算具有前景.
- 它们在环境变化下的值稳定性是一个关键的挑战.
研究的目的:
- 为了阐明NbOx-TSM与CdTe2中间层的切换机制.
- 为了提高这些memristors的稳定性和性能,用于神经形态应用.
主要方法:
- 研究了用于切换的普尔-弗伦克尔 (PF) 排放模型.
- 实现并分析了不同厚度的双层介层结构.
- 利用漏洞的整合和发射 (LIF) 神经元电路来研究振荡行为.
- 开发了一个基于memristor的系统,用于ECG心律失常检测.
主要成果:
- 双层间层结构显著提高了有效的热电阻和降低了值电压.
- 使用双层间层,切换稳定性提高了30.9%.
- 从3nm增加间层厚度到9nm进一步提高了稳定性24.7%,并降低了值电压.
- 在LIF电路中观察到的频率和为热工程提供了设计指南.
- 实现了90.0%的ECG心律失常检测分类准确度.
结论:
- CdTe2中间层有效地提高了NbOx-TSM的稳定性和性能.
- 层间工程,特别是厚度优化,对于热管理和设备可靠性至关重要.
- 物理可解释的memristors对于硬件实现神经形态计算和生物感知应用非常有价值.
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