实验演示一个增强的 skyrmion 应变介导物理储计算系统的实验演示
Yiming Sun1, Tao Lin1, Na Lei2
1Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Nature communications
|June 10, 2023
概括
这项研究展示了一种使用多铁基异构结构的新型 skyrmion 增强物理水库. 这种自旋电子设备在波形分类和时间序列预测方面实现了高精度,以实现高效的神经形态计算.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 神经形态计算是一种神经形态计算.
背景情况:
- 物理储库对于高效的复杂任务解决至关重要,提供非线性,高维度和记忆效应.
- 由于具有多参数聚变能力,spintronic和应变介导电子储库对高速,低功耗计算具有前景.
研究的目的:
- 为了实验地实现一个Skirmion增强的应变介导物理储库.
- 为了研究磁性 skyrmions 和应变调节电阻的融合,以提高储功能.
- 为了证明设备在复杂的计算任务中的能力.
主要方法:
- 制造一个多铁基异构结构 (PMN-PT上的Pt/Co/Gd多层).
- 使用 skyrmions 和应变工程来调节电阻.
- 实现用于波形分类和Mackey-Glass时间序列预测任务的设备.
主要成果:
- 成功地实现了一个增强了 skyrmion 的应变介导物理储库.
- 在顺序波形分类任务中实现了99.3%的识别率.
- 获得了20步Mackey-Glass时间序列预测的0.2的正常化根平均平方误差 (NRMSE).
结论:
- 开发的物理水库证明了有效的磁电铁弹性化能力.
- 这项工作为低功耗的神经形态计算系统提供了基础.
- 它代表了应变介导的自旋电子应用的重大进步.
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