神经形态工程学
材料科学
磁电阻
合金
光电子学
外延
长时程增强
铁磁性
凝聚态物理
计算机科学
纳米技术
图层(电子)
人工神经网络
人工智能
物理
复合材料
磁场
受体
化学
量子力学
生物化学
作者
Zhenyu Zhou,William Frost,David C. Lloyd,Takeshi Seki,Takahide Kubota,R. Ramos,Eiji Saitoh,Kōki Takanashi,Atsufumi Hirohata
标识
DOI:10.1016/j.jmmm.2023.170575
摘要
Recent development in neuromorphic computation allows us to achieve low power and highly efficient calculations better than the conventional von Neumann computation. In order to achieve realistic synaptic operation, potentiation to add weighting to strengthen a selected artificial synapse. Such functionality can be achieved by reducing the electrical resistance of the artificial synapse. Recently, a ferromagnetic Heusler alloy used in a magnetoresistive junction has been demonstrated to crystallise via the layer-by-layer mode by introducing an electrical current pulse. In this study, we have extended the current-induced crystallisation to a junction with epitaxially-grown Heusler alloy after post-annealing for crystallisation. By combining this potentiation functionality with the neuromorphic operation, realistic synaptic computation can be developed.
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