神经形态工程学
磁化
计算机科学
材料科学
扭矩
光电子学
极化(电化学)
电子工程
人工神经网络
物理
工作(物理)
自旋电子学
自旋(空气动力学)
垂直的
凝聚态物理
组分(热力学)
自旋极化
人工智能
铁磁性
光谱学
拓扑(电路)
作者
Huiyun Hu,Tao Zhu,Likun Qian,Buyun Huang,Ke Wang,Liu Yang,Fang Jin,Kaifeng Dong
摘要
Field-free spin–orbit torque (SOT)-driven perpendicular magnetization switching presents a highly promising pathway for neuromorphic computing applications. In this study, field-free SOT switching is achieved in a GdFeCo device driven by out-of-plane spin polarization. The anomalous Hall effect loop shifts combined with energy-dispersive spectroscopy analysis confirm that the switching mechanism originates from an out-of-plane spin polarization component (σz), generated by a compositional gradient of Gd. Subsequently, a fully spin-based generative adversarial network architecture utilizing GdFeCo SOT devices is built. By exploiting the tunable neuronal and synaptic characteristics of GdFeCo-SOT systems, we achieve cross-modal learning between image and speech domains. A remarkable recognition accuracy rate of above 80% is attained when the generated speech is assessed. Our work introduces a field-free SOT switching strategy based on out-of-plane spin-polarized components, offering significant potential for implementation in neuromorphic computing.
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