神经形态工程学
自旋电子学
材料科学
磁化
扭矩
磁性
磁化动力学
铁磁性
自旋(空气动力学)
油藏计算
可编程逻辑器件
逻辑门
电子工程
磁阻随机存取存储器
非线性系统
和大门
还原(数学)
特征(语言学)
工作(物理)
减刑
现场可编程门阵列
剩磁
拓扑(电路)
磁铁
非易失性存储器
混乱的
控制理论(社会学)
磁路
磁强计
计算机科学
作者
Yuchen Tu,Zeyu Guan,Haifeng Bu,Wentao Jin,Zhijian Shen,Fangfang Pei,Yulin Gan,Haiyi Zhang,Zhengxu Zhu,Qian Li,Zhaoliang Liao,Shengchun Shen,Yuewei Yin,Xiaoguang Li
标识
DOI:10.1002/adfm.202519753
摘要
Abstract To achieve efficient manipulation of magnetism for next‐generation magnetic memory and spintronic devices, integration of distinct electrical control manners within a single device represents a critical pursuit in spintronics. Here, an effective approach combining voltage‐controlled hydrogenation and current‐induced spin‐orbit torque (SOT) is proposed to manipulate the ferromagnetism in an all‐solid‐state magneto‐ionic device with GdO x /Pd/Pd 65 Co 35 heterostructure. Hydrogenation drives a reversible ferromagnetic‐to‐paramagnetic transition, while the SOT enables switching of magnetization without the external magnetic field. Furthermore, SOT‐driven magnetization switching can be finely tuned by the hydrogenation, leading to regulation of switching amplitude, reversal of switching polarity, and reduction of critical switching current. Through magnetization sign and magnitude engineering via coordinated voltage/current inputs, multiple programmable spin logic gates are demonstrated within a single device. Additionally, the semi‐nonvolatile feature of hydrogenation at room temperature results in a nonlinear evolution of magnetization with time and is utilized to construct a simulated physical reservoir computing system, which achieves exceptional performance in temporal tasks, including high accuracy (98.4%) in speech recognition and low error (root mean square error <0.1) in chaotic prediction. This work offers a promising route toward the integration of memory, logic, and neuromorphic computing within a unified spintronic device.
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