神经形态计算中的弛豫反铁电动力学

IF 27.4 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Dongliang Yang, Yinan Lin, Weifan Meng, Zhongyi Wang, Huihan Li, Ce Li, Zirui Zhang, Qianyu Zhang, Junqi You, Jiarui Wang, Tianze Yu, Yutao Li, Weiting Miao, Weili Zhen, Fei Xue, Ruixiang Fei, Linfeng Sun
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引用次数: 0

摘要

弛豫反铁电体(AFE)材料显示出渐进的极化响应和高能量存储密度,在移除外部磁场后极化会缓慢恢复。这种独特的极化转换行为与生物神经系统中的突触可塑性非常相似,为神经形态计算应用提供了巨大潜力。特别是,它的二维场景表现出独特的物理特性,并由于其反极性排列而在原子厚度上保持稳定,从而有效消除了去极化场效应。这种稳定的二维弛豫 AFE 材料为将这些材料集成到用于神经形态计算的现代电子设备中提供了显著优势。本研究探索了一种新型四元层 AFE 材料 CuBiP₂Se₆(CBPS)在神经形态器件应用中的潜力。CBPS 具有广泛的光吸收和稳定的弛豫 AFE 行为,是光电突触器件的理想候选材料。我们合成了高质量的 CBPS,并通过各种表征技术验证了其 AFE 特性。基于 CBPS 的突触器件在电输入和光输入的刺激下表现出双模可调电阻可塑性,证明了其在图像复原任务中执行传感器内计算的能力。这些研究结果表明,像 CBPS 这样的弛豫 AFE 材料可以为各种脑启发应用,特别是神经形态计算和人工视觉系统提供一个强大的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Relaxor Antiferroelectric Dynamics for Neuromorphic Computing

Relaxor Antiferroelectric Dynamics for Neuromorphic Computing
Relaxor antiferroelectric (AFE) materials display a gradual polarization response and high energy storage density with polarization slowly reverting after removing an external field. This distinctive polarization-switching behavior closely resembles synaptic plasticity in biological nervous systems, presenting substantial potential for neuromorphic computing applications. Especially, its 2D scenario exhibits unique physical properties and maintains stability at atomic thickness due to their antipolar alignment, which effectively eliminates the depolarization field effect. Such stable 2D relaxor AFE materials offer significant advantages for integrating these materials into modern electronic devices for neuromorphic computing. In this study, the potential of a novel quaternary layered AFE material, CuBiP₂Se₆ (CBPS), is explored for neuromorphic device applications. CBPS exhibits a broad range of light absorption and stable relaxor AFE behavior, rendering it an outstanding candidate for optoelectronic synaptic devices. High-quality CBPS is synthesized and its AFE properties through various characterization techniques are verified. CBPS-based synaptic devices demonstrate dual-mode tunable resistance plasticity stimulated by both electrical and optical inputs, demonstrating the capacity to perform in-sensor computing for image restoration tasks. These findings suggest that relaxor AFE materials like CBPS could provide a robust platform for various brain-inspired applications, particularly in neuromorphic computing, and artificial visual systems.
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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