温度对加权旋扭矩纳米振荡器的影响,用于神经形态计算
Ren Li1, Yasser Rezaeiyan2, Tim Böhnert3
1Department of Electrical and Computer Engineering, Aarhus University, 8200, Aarhus, Denmark. ren.li@ece.au.dk.
Scientific reports
|May 2, 2024
概括
制造的磁道连接器可以作为磁性记忆或纳米振荡器. 加热这些设备可以提高神经形态计算系统的性能,为VCSEL辅助的自旋电子系统铺平道路.
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:
- 磁道连接 (MTJs) 是多功能旋转电子设备.
- MTJs可以配置为磁性记忆 (MMs) 或旋旋矩纳米振荡器 (STNOs).
- 神经形态计算系统 (NCS) 可以利用自旋电子设备进行先进的计算.
研究的目的:
- 调查温度对基于MTJ的MM和STNO的影响.
- 探索温度作为一种手段,以提高自旋电子神经形态计算系统的性能.
- 为了证明使用垂直腔表面发射激光器 (VCSELs) 在NCS中进行热控制的可行性.
主要方法:
- 制造具有MM和STNO功能的不同几何形状的MTJ.
- 在受控温度变化 (25°C至75°C) 下对设备性能进行系统研究.
- 使用制造的设备,应用神经网络进行波形分类.
主要成果:
- 温度显著影响MMs (突触重量) 的阻力和STNO的输出功率.
- 仅供热MM,仅供STNO,或两者都导致输出功率分别增加24.7%,72%,92.3%.
- 在MMs中证明了磁电阻 (TMR) 的温度依赖调制.
结论:
- 温度是优化自旋电子神经形态计算系统的关键参数.
- VCSEL辅助的热控制为提高NCS性能提供了一个有希望的方法.
- 这项研究为开发紧型,高速的自旋电子NCS奠定了基础.
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