材料科学
记忆电阻器
自旋电子学
旋节
旋节分解
磁电阻
阿尔尼科
纳米技术
纳米结构
神经形态工程学
光电子学
巨磁阻
凝聚态物理
纳秒
微磁学
纳米尺度
磁铁
微观结构
纳米电子学
制作
电压
磁场
硫系化合物
量子隧道
超级电容器
微执行器
磁存储器
作者
Tatsuya Yamamoto,Tomohiro Ichinose,Jun Uzuhashi,Sumito Tsunegi,Takayuki Nozaki,Tadakatsu Ohkubo,Shingo Tamaru,Kay Yakushiji,Hitoshi KUBOTA,S. Yuasa
标识
DOI:10.1002/adfm.202523154
摘要
Abstract Spinodal decomposition is a phenomenon that forms self‐assembled microstructures with extremely uniform sizes and shapes. The phenomenon is exploited in the manufacture of alnico magnets, once considered to be the strongest permanent magnets. However, it has hardly been used in spintronics, one of the most important applications of magnetic materials today, because conventional spintronic devices require uniform magnetic thin‐films to achieve a single‐domain state. Here, the study sheds light on how spinodal magnets can be used to create high‐performance spintronics memristors that have synaptic functionalities. Thin‐film spinodal decomposition is used to fabricate an Fe‐Mn‐based storage layer with a nanostructure consisting of Fe‐rich granules in magnetic tunnel junctions. The devices function as nanoscale memristors that offer both long‐term data retention and analog‐like resistance changes controlled by nanosecond voltage pulses and emulate fundamental synaptic functionalities. The results indicate that spinodal MTJs will be a key to realizing nanoscale memristors for energy‐efficient neuromorphic computing.
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