嵌入碳矩阵的氧化纳米粒子用于数字-模拟集成记忆器
Priyanka Sahu1,2, Himadri Nandan Mohanty2, Suman Roy2,3
1School of Physics, Sambalpur University, Jyoti Vihar, Burla 768019, India.
ACS applied materials & interfaces
|October 24, 2025
概括
这项研究引入了一种新的氧化减少氧化石墨烯 (CeO2-rGO) 记忆器. 该设备展示了数字和模拟电阻开关,为先进的内存和神经形态计算铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 纳米技术纳米技术
- 电气工程 电气工程
背景情况:
- 电阻开关 (RS) 记忆器对于下一代记忆和神经形态计算至关重要.
- 将数字和模拟RS集成到单个设备中,提供了增强的功能.
研究的目的:
- 开发和描述一个CeO2-rGO纳米复合材料的memristor.
- 为了研究其对多功能记忆和神经形态应用的潜力.
主要方法:
- 的CeO2-rGO纳米复合物活性层的热水合成.
- 双极电阻切换记忆器设备的制造和电气特性.
主要成果:
- CeO2-rGO记忆器表现出稳定,低压,无形成的双极RS.
- 展示了大内存窗口,可靠的耐力和保留.
- 通过数字和模拟开关的共存实现多层电导状态.
结论:
- CeO2-rGO纳米复合材料显示为下一代非易失性记忆的前景.
- 该设备将传统的数据存储和神经形态功能相结合.
- 对高密度存储和突触模拟应用的潜力.
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