基于域壁磁道连接的人工突触和神经元,用于全旋转的神经形态硬件
Long Liu1,2, Di Wang1,2, Dandan Wang3
1Key Lab of Fabrication Technologies for Integrated Circuits, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China.
Nature communications
|May 28, 2024
概括
研究人员开发了高能效的全自旋突触和神经元设备,使用域壁-磁道连接. 这一突破使得高可扩展性的神经形态电路具有低功耗.
科学领域:
- 这就是Spintronics.
- 神经形态计算是一种神经形态计算.
- 材料科学 材料科学 材料科学
背景情况:
- 神经形态计算旨在模仿人类大脑的效率.
- 目前的硬件面临着可扩展性和能源消耗方面的挑战.
- 全旋转设备为低功耗,高密度计算提供了一个有前途的途径.
研究的目的:
- 为了展示一个硬件实现的节能全自旋突触和神经元设备.
- 为了实现高度可扩展的集成神经形态电路.
- 探索域墙磁道连接 (DW-MTJs) 对于神经形态应用的潜力.
主要方法:
- 使用的域壁磁道连接 (DW-MTJs).
- 控制的旋转轨道扭矩和界面的Dzyaloshinskii-Moriya相互作用 (i-DMI).
- 采用第一原则计算和实验验证,包括能源景观可视化.
主要成果:
- 实现了一个可编程的多态突触装置,具有高可靠性.
- 演示了一个旋神经元,具有在20MHz运行的西格状激活功能.
- 据报道,自旋神经的低能耗为508 fJ/操作.
- 介绍了一种紧而低功耗的神经元电路设计.
结论:
- 域墙-磁道连接对于全旋转神经形态计算硬件非常有前途.
- 开发的设备为节能和可扩展的神经网络架构提供了一条途径.
- 这项工作代表了迈向实际神经形态系统的重要一步.
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