光电子记忆器的技术和集成路线图
Jinyong Wang1,2, Nasir Ilyas1, Yujing Ren3
1School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
Advanced materials (Deerfield Beach, Fla.)
|September 22, 2023
概括
光电子记忆器 (OMs) 为神经形态计算提供了一个新的途径,使先进的神经突触装置成为可能. 本综述详细介绍了它们的结构,性能和未来光电子系统的集成.
科学领域:
- 材料科学 材料科学 材料科学
- 计算机工程 计算机工程
- 神经科学是一个神经科学.
背景情况:
- 光电子记忆器 (OM) 正在成为神经形态计算的关键技术.
- 它们为神经突触设备提供了低功耗,高带宽和最小交叉通话等优势.
- OMs可以复制神经功能,为先进的光电子系统铺平了道路.
研究的目的:
- 提供对光电子突触记忆器的全面概述.
- 探索它们的基本性能,机制和结构设计.
- 在光电子电路中概述OM的集成路线图.
主要方法:
- 审查关于光电子记忆器结构和性能的现有文献.
- 分析低维材料在光电子平台中的集成.
- 将材料特性与设备功能和电路集成相连接.
主要成果:
- OMs展示了高性能,低功耗内存计算的潜力,克服了·诺伊曼瓶的限制.
- 成功的集成需要了解材料选择和设备架构.
- 大规模的并行突触结构对于增强的计算能力至关重要.
结论:
- 光电子记忆器对于光电子神经形态计算的未来至关重要.
- 为了广泛采用,需要对材料集成和设备设计进行进一步的研究.
- 本综述提供了对新兴技术和该领域未来前景的见解.
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