神经形态工程学
冯·诺依曼建筑
突触
长时程增强
光电子学
神经促进
稳健性(进化)
突触可塑性
材料科学
化学
纳米技术
计算机科学
生物
人工神经网络
人工智能
神经科学
基因
操作系统
生物化学
受体
作者
Liang Tian,Mengshuang Chi,Yilin Zhao,Ying Lou,Haiming Zhang,Shidai Tian,Silin Liang,Lingyu Wan,Junyi Zhai
标识
DOI:10.1021/acsanm.4c02891
摘要
The neuromorphic computing paradigm, characterized by nonvolatile artificial synapses, is seen as crucial for overcoming the limitations of the von Neumann architecture. Moreover, the effective implementation on a large scale necessitates enhanced performance, reduced energy consumption, and increased robustness of synaptic devices. In this work, a bipartite artificial synapse was developed using Hf0.5Zr0.5O2 (HZO) ferroelectric thin films on Nb:SrTiO3 (NSTO) (110) substrates achieving a substantial storage window and an exceptionally high switching ratio spanning 7 orders of magnitude. Notably, the device demonstrates the capability to transition between multiple resistive states, facilitating multilevel data storage. Additionally, the fabricated device emulates the behavior of biological synapses, exhibiting synaptic plasticity feathers such as long-term potentiation/depression (LTP/LTD), paired-pulse facilitation (PPF), and spike-timing dependent plasticity (STDP). These findings underscore the significant potential of HZO artificial synapse devices for neuromorphic computing applications.
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