基于超晶格Sb/ sb2s3的神经形态计算突触装置的长期可塑性和抑制作用

IF 6.3 2区 材料科学 Q2 CHEMISTRY, PHYSICAL
Li Guo, Yegang Lu
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引用次数: 0

摘要

热稳定性和电阻漂移是相变存储器在神经形态计算应用中的两个主要问题。单原子锑薄膜具有快速结晶和降低组分偏析风险的特点,但其热稳定性较差。本文采用纯Sb和热稳定的Sb2S3制备了具有超晶格(SLL)结构的Sb/Sb2S3。Sb/Sb2S3 SLL膜的结晶温度约为226℃。10年的数据保留温度约为137℃,结晶活化能约为3.44 eV。这些发现突出了这些薄膜显著的热稳定性。SLL薄膜界面张力的存在阻碍了Sb晶体的生长。通过对结晶机理的分析,发现结晶动力学指数(nn)为0.481,表明Sb/Sb2S3 SLL薄膜的一维生长。这有助于减少成核随机性和最小化阻力漂移。此外,我们使用基于[Sb(2 nm)Sb2S3(4 nm)]16的PCM单元模拟突触,采用特定的脉冲方案,实现突触权重的长期增强(LTP)和长期抑制(LTD)。三层感知器设备在手写数字识别任务中实现了96%的识别准确率,这表明我们的方法具有提高神经形态计算网络效率的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term plasticity and inhibition of superlattice-like Sb/Sb2S3-based synaptic devices for neuromorphic computing
Thermal stability and resistance drift are the two main issues for phase change memory (PCM) in application of neuromorphic computing. Though monatomic Sb thin films possess rapid crystallization and mitigate the risk of component segregation, they suffer from poor thermal stability. In this paper, Sb/Sb2S3 with a superlattice-like (SLL) arrangement were fabricated by employing pure Sb and thermally stable Sb2S3. The crystallization temperature of the Sb/Sb2S3 SLL film reaches approximately 226 oC. The data retention temperature for 10 years achieves about 137 oC and the crystallization activation energy is approximately 3.44 eV. These findings highlight the remarkable thermal stability of these films. The presence of tension at the interface of SLL thin films hinders the growth of Sb crystals. By analyzing the crystallization mechanism, it was found that the crystallization kinetic exponent (n) is 0.481, indicating one-dimensional growth of Sb/Sb2S3 SLL thin films. This helps reduce nucleation randomness and minimize resistance drift. In addition, we simulated synapses using PCM units based on [Sb(2 nm)Sb2S3(4 nm)]16 by applying specific pulse schemes, achieving long-term potentiation (LTP) and long-term depression (LTD) of synaptic weights. The three-layer perceptron device achieved recognition accuracy of 96% in a handwritten digit identification task, suggesting that our approach has the potential to enhance the efficiency of neuromorphic computing networks.
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来源期刊
Journal of Alloys and Compounds
Journal of Alloys and Compounds 工程技术-材料科学:综合
CiteScore
11.10
自引率
14.50%
发文量
5146
审稿时长
67 days
期刊介绍: The Journal of Alloys and Compounds is intended to serve as an international medium for the publication of work on solid materials comprising compounds as well as alloys. Its great strength lies in the diversity of discipline which it encompasses, drawing together results from materials science, solid-state chemistry and physics.
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