纳米银基神经形态网络的制备与应用研究进展

doi:10.11896/cldb.24070124

材料导报

2025, Vol. 39

Issue (19): 24070124-11 https://doi.org/10.11896/cldb.24070124

金属与金属基复合材料

纳米银基神经形态网络的制备与应用研究进展

韩坤原, 柳凤琦, 叶益聪^*

国防科技大学空天科学学院,长沙 410073

Research Progress on the Formulation and Application of Nanosilver-based Neuromorphic Networks

HAN Kunyuan, LIU Fengqi, YE Yicong^*

College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

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摘要随着大数据和人工智能技术的快速发展,提升数据处理效率的需求日益增加。除了优化算法外,开发基于物理形态的新型计算元件也能减少算法迭代。纳米银基神经形态网络是一种以银纳米材料为结构单元构筑形成的类神经网络框架,能够模拟人体神经系统对信息进行处理,因而在神经形态计算和类脑计算领域具有极高的应用潜力。为确保其稳定运行和制备方便,研究人员对其材料体系和制备工艺进行了一系列改进。基于近年来国内外纳米银基神经形态网络的发展现状,本文根据不同的材料体系,重点介绍了神经形态网络的制备方法,如滴涂法、随机铜种子诱导自组装法以及规则阵列铜种子自组装法等,总结了纳米银基神经形态网络的应用现状,并对其未来发展和应用前景进行展望。

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关键词: 纳米银神经形态网络自组装非线性映射无机突触忆阻器原子开关

Abstract: The rapid advancement of big data and artificial intelligence has heightened the demand for improved data processing efficiency. Beyond optimizing algorithms, developing new computing elements based on physical morphology offers an alternative to reduce algorithm iteration. Nanosilver-based neuromorphic networks, utilizing silver nanomaterials as structural units, can mimic the information processing capabilities of the human nervous system, making them promising for neuromorphic and brain-inspired computing applications. To ensure stable operation and ease of fabrication, researchers have implemented various improvements to the material system and fabrication processes. This paper reviews recent progress in nanosilver-based neuromorphic networks, focusing on preparation methods such as drop-casting, random copper seed-induced self-assembly, and patterned copper seed self-assembly across different material systems. Additionally, it summarizes current applications and discusses future development and applicative prospects of this technology.

Key words: nano-silver neuromorphic networks self-organization nonlinear mapping inorganic synapses memristors atomic switch

出版日期: 2025-10-10 发布日期: 2025-09-24

ZTFLH:

TB31

通讯作者: *叶益聪,博士,国防科技大学空天科学学院教授、博士研究生导师。目前主要从事机器学习辅助材料设计等方面的研究。18505993519@163.com

作者简介: 韩坤原,国防科技大学空天科学学院硕士研究生,在叶益聪教授的指导下进行研究。目前主要研究领域为纳米银基神经形态计算材料的研究。

引用本文:

韩坤原, 柳凤琦, 叶益聪. 纳米银基神经形态网络的制备与应用研究进展[J]. 材料导报, 2025, 39(19): 24070124-11.
HAN Kunyuan, LIU Fengqi, YE Yicong. Research Progress on the Formulation and Application of Nanosilver-based Neuromorphic Networks. Materials Reports, 2025, 39(19): 24070124-11.

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https://www.mater-rep.com/CN/10.11896/cldb.24070124 或 https://www.mater-rep.com/CN/Y2025/V39/I19/24070124

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