Adjustable ion energy barrier for reliable memristive neuromorphic systems  

作　　者：Tianci Huang Zuqing Yuan 

机构地区：[1]School of Integrated Circuits and Electronics,Beijing Institute of Technology,Beijing 100081,China

出　　处：《Science China Materials》2024年第11期3759-3760,共2页中国科学（材料科学）（英文版）

摘　　要：With the rapid development of artificial intelligence and the processing of large-scale data,the demand for low-power and high-speed computing has become increasingly crucial[1].Neuromorphic computing,which mimics the neural structure of the human brain,offers a promising solution to overcome the limitations of traditional von Neumann architecture[2,3].

关 键 词：OVERCOME LIMITATIONS BARRIER 

分 类 号：TN60[电子电信—电路与系统] TP18[自动化与计算机技术—控制理论与控制工程]