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Enhanced synaptic properties in HfO_(2)-based trilayer memristor by using ZrO_(2-x) oxygen vacancy reservoir layer for neuromorphic computing
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作者 Turgun Boynazarov Joonbong Lee +5 位作者 Hojin Lee Sangwoo Lee Hyunbin Chung Dae Haa Ryu Haider Abbas Taekjib Choi 《Journal of Materials Science & Technology》 2025年第24期164-173,共10页
Neuromorphic computing devices leveraging HfO_(2) and ZrO_(2) materials have recently garnered significant attention due to their potential for brain-inspired computing systems.In this study,we present a novel trilaye... Neuromorphic computing devices leveraging HfO_(2) and ZrO_(2) materials have recently garnered significant attention due to their potential for brain-inspired computing systems.In this study,we present a novel trilayer Pt/HfO_(2)/ZrO_(2-x)/HfO_(2)/TiN memristor,engineered with a ZrO_(2-x) oxygen vacancy reservoir(OVR)layer fabricated via radio frequency(RF)sputtering under controlled oxygen ambient.The incorporation of the ZrO_(2-x) OVR layer enables enhanced resistive switching characteristics,including a high ON/OFF ratio(∼8000),excellent uniformity,robust data retention(>105 s),and multilevel storage capabilities.Furthermore,the memristor demonstrates superior synaptic plasticity with linear long-term potentiation(LTP)and depression(LTD),achieving low non-linearity values of 1.36(LTP)and 0.66(LTD),and a recognition accuracy of 95.3%in an MNIST dataset simulation.The unique properties of the ZrO_(2-x) layer,particularly its ability to act as a dynamic oxygen vacancy reservoir,significantly enhance synaptic performance by stabilizing oxygen vacancy migration.These findings establish the OVR-trilayer memristor as a promising candidate for future neuromorphic computing and high-performance memory applications. 展开更多
关键词 HfO_(2)-based trilayer memristor ZrO_(2-x)oxygen vacancy reservoir Synaptic plasticity Non-volatile memory Neuromorphic computing
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