在以离子为基础的memristors中协同调节导电丝,用于增强的模拟内存计算
Jinyong Wang1,2, Yujing Ren3, Ze Yang4
1School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|March 16, 2024
概括
这项研究介绍了一种新型的memristor,使用富含氧气的SnO2纳米花来克服计算中的离子迁移问题. 这提高了模拟内存计算应用程序的性能.
科学领域:
- 材料科学 材料科学 材料科学
- 纳米技术 纳米技术
- 计算机工程 计算机工程
背景情况:
- 传统的·诺伊曼计算机系统面临着性能和能源方面的挑战.
- 在memristors中的静态离子迁移会导致记忆窗口,保留和耐久性之间的权衡.
研究的目的:
- 开发一款强大的memristor,克服离子迁移问题,用于增强模拟内存计算.
- 调查氧气空缺和银离子在调节导电丝中的作用.
主要方法:
- 使用富含氧气的SnO2纳米花作为转换介质通过种子介导的湿化学制造一个memristor.
- 在Ag/SnO2/p++-Si装置中的氧空位 (Vo) 和Ag离子 (Ag+) 之间的相互作用分析.
- 突触功能和图像识别能力的演示.
主要成果:
- 实现了高开/关比 (>10^6),长时间记忆保留 (10年推算) 和低切换变化率 (SV = 6.85%).
- 成功演示了多个突触功能,包括配对脉冲促进,长期强化/抑郁,以及依赖于尖端时间的可塑性.
- 使用模拟重量更新和多重导电状态,实现了高图像识别精度 (≥91.39%).
结论:
- 协同调节导电纤维对于优化memristor性能权衡至关重要.
- 开发的memristor显示出对先进的神经形态应用和模拟内存计算的重大承诺.
- 通过材料设计调节离子迁移为下一代计算架构提供了可行的途径.
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