神经形态工程学
材料科学
光电子学
神经促进
记忆电阻器
可扩展性
计算机科学
纳米技术
电子工程
长时程增强
人工神经网络
工程类
人工智能
受体
化学
生物化学
数据库
作者
Tianyu Wang,Jialin Meng,Zhenyu He,Lin Chen,Hao Zhu,Qingqing Sun,Shi‐Jin Ding,Peng Zhou,David Wei Zhang
出处
期刊:Nanoscale
[Royal Society of Chemistry]
日期:2020-01-01
卷期号:12 (16): 9116-9123
被引量:45
摘要
As one of the emerging neuromorphic computing devices, memristors may break through the limitation of traditional computers with a von Neumann architecture. However, the development of flexible memristors is limited by the high-temperature fabrication process, large operating voltage and non-uniform distribution of resistance. The room-temperature process has attracted great attention due to its advantages of low thermal dissipation, low cost and excellent compatibility with flexible electronics. Here, we proposed a fully physical vapour deposition (PVD) process for fabricating a memristor without additional heat treatment. The device showed excellent resistive switching characteristics with ultralow set/reset voltages (0.48 V/-0.39 V), uniform distribution (10%/15%), stable retention characteristic, multilevel storage behavior and reliable flexibility (radius of 10 mm). With continuously modulated conductance, typical synaptic plasticities were simulated by our flexible biomemristor, including excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), long-term potentiation/depression (LTP/LTD) and learning-forgetting curve. Furthermore, the array learning behavior like that of the human brain was simulated with these trainable biomemristors. This study paves a new way for developing low-cost, wearable, neuromorphic computing electronics at room temperature and expands the applications of artificial synapse arrays.
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