通过电压控制交换机合,在超偏磁道交叉点进行节能随机信号操纵
Qi Jia1, Onri J Benally1, Brandon Zink1
1Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Nano letters
|May 28, 2025
概括
我们展示了一种新的低功耗方法,用于使用电压控制交换合 (VCEC) 控制超偏磁道连接 (sMTJs). 这一突破为神经形态计算提供了高效的概率位.
科学领域:
- 材料科学 材料科学 材料科学
- 这就是Spintronics.
- 神经形态计算是一种神经形态计算.
背景情况:
- 超偏磁道连接 (sMTJs) 是神经形态系统中随机计算的关键.
- 像旋转转移扭矩 (STT) 和旋转轨道扭矩 (SOT) 这样的传统控制方法耗费大量功率.
- 开发用于sMTJs的节能控制机制对于推进计算至关重要.
研究的目的:
- 介绍和演示用于sMTJ控制的电压控制交换合 (VCEC) 机制.
- 与传统方法相比,评估VCEC的功率效率.
- 探索VCEC在神经形态计算应用中的潜力.
主要方法:
- 在sMTJs中实施电压控制交换合 (VCEC) 机制.
- 测量VCEC开关的功耗.
- 用VCEC控制的sMTJs的输出响应的表征.
- 集成VCEC与旋转轨道扭矩 (SOT) 进行磁性状态操纵.
主要成果:
- 通过使用VCEC实现sMTJ切换的超低功耗40nW,比基于STT的方法低2个数量级.
- 证明了适合神经形态应用的西格形输出响应.
- 验证了VCEC和SOT的联合控制,以加强磁状态操纵.
结论:
- 电压控制交换合器 (VCEC) 提供了一种高能效的方法来控制sMTJs.
- VCEC是神经形态计算中低功率概率位的有希望的解决方案.
- 这项工作为sMTJs中的VCEC提供了第一个实际演示,为未来的低功耗计算架构铺平了道路.
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