用于记忆和神经形态计算系统的多孔晶体材料
Guanglong Ding1, JiYu Zhao1,2,3, Kui Zhou1
1Institute for Advanced Study, Shenzhen University, Shenzhen, China. yezhou@szu.edu.cn.
Chemical Society reviews
|September 27, 2023
概括
像MOF和COF这样的多孔晶体材料正在推进记忆和神经形态计算. 本综述详细介绍了它们的薄膜制备和在电子设备中的应用.
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:
- 多孔晶体材料,包括金属有机框架 (MOFs),共价有机框架 (COFs),结有机框架 (HOFs) 和化石,具有独特的多孔性和可设计性.
- 在过去的十年中,这些材料引起了人们对内存和神经形态计算系统的大量兴趣.
- 从粉末合成过渡到高质量的薄膜制备对于优化电子应用中的设备性能至关重要.
研究的目的:
- 为记忆和神经形态计算中的多孔晶体材料提供全面的概述.
- 为突出准备电子应用多孔晶体材料薄膜的策略.
- 分析这些材料在先进计算中的挑战和未来方向.
主要方法:
- 关于多孔晶体材料合成和薄膜制备技术的文献综述.
- 对用于记忆和神经形态应用的设备性能指标的分析.
- 对不同的多孔晶体材料及其在电子设备中的集成进行比较研究.
主要成果:
- 多孔晶体材料在增强记忆和神经形态计算功能方面具有显著的潜力.
- 已经确定和评估了制造这些材料的高质量薄膜的各种策略.
- 该综述提供了对现有研究和技术进步的比较分析.
结论:
- 多孔晶体材料,特别是薄膜形式的材料,对于记忆和神经形态电子的未来至关重要.
- 需要对电影制作和设备集成进行进一步的研究,以克服当前的挑战.
- 材料科学家,化学家和工程师之间的跨学科合作将加速这一领域的进步.
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