传感,计算和存储在基于异常大厅效应的神经形态设备中的单体集成
Sitong An1, Lvkang Shen1, Tianyu Liu1
1School of Microelectronics, Xi'an Jiaotong University, Xi'an 710049, China.
ACS applied materials & interfaces
|December 23, 2025
概括
这项研究引入了一个新的Ag/NiO/NiCo2O4异构结构,用于集成的神经形态计算. 该设备将磁传感,memristor存储和模拟计算在一个单一单元中结合在一起,为节能自主系统铺平了道路.
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:
- 神经形态计算面临的挑战是由于传感,记忆和处理单元的物理分离.
- 这些功能的内在集成对于推进神经形态架构至关重要.
研究的目的:
- 开发一个集磁传感,基于memristor的存储和模拟计算的单体设备.
- 通过创建一个统一的功能单元来解决传统神经形态计算的局限性.
主要方法:
- 制造出一种新的Ag/NiO/NiCo2O4异构结构.
- 在NiCo2O4中利用异常的霍尔效应进行传感和计算.
- 利用NiO层作为一种非挥发性memristor,通过界面调制实现可重新配置的存储.
主要成果:
- 该设备集成了磁传感,memristor存储和模拟计算.
- NiO 记忆电阻编程 (±2 V) 非挥发性调节 NiCo2O4 的异常霍尔效应反应.
- 在高灵敏度和广动态范围模式之间实现了编程切换.
结论:
- 单一的Ag/NiO/NiCo2O4异构结构为节能的神经形态传感器提供了可行的基础.
- 这种综合方法支持多功能自主系统的发展.
- 通过氧空位迁移进行界面调制是设备功能的关键.
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