神经形态工程学
纳米线
纳米技术
材料科学
计算机科学
计算机体系结构
人工神经网络
人工智能
作者
Jiawen Qiu,Junlong Li,Wenhao Li,Kun Wang,Shuqian Zhang,Chan Hee Suk,Chaoxing Wu,Xiongtu Zhou,Yongai Zhang,Tailiang Guo,Tae Whan Kim
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-11-05
卷期号:18 (46): 31632-31659
被引量:10
标识
DOI:10.1021/acsnano.4c10170
摘要
Neuromorphic computing, inspired by the highly interconnected and energy-efficient way the human brain processes information, has emerged as a promising technology for post-Moore's law era. This emerging technology can emulate the structures and the functions of the human brain and is expected to overcome the fundamental limitation of the current von Neumann computing architecture. Neuromorphic devices stand out as the key components of future electronic systems, exhibiting potential in shaping the landscape of neuromorphic computing. Especially, nanowire (NW)-based neuromorphic devices, with their advantages of high integration, high-speed computing, and low power consumption, have recently emerged as candidates for neuromorphic computing technology. Here, a critical overview of the current development and relevant research in the field of NW-based neuromorphic devices are provided. Neuromorphic devices based on different NW materials are comprehensively discussed, including Ag NW-based, organic NW-based, metal oxide NW-based, and semiconductor NW-based devices. Finally, as a foresight perspective, the potentials and the challenges of these NW-based neuromorphic devices for use as future brain-like electronics are discussed.
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