合成无形结晶混合物化,用于平衡电阻开关操作
Kyung Jin Ahn1, Do Kyeong Yun1, Mi Hyang Park1
1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Small (Weinheim an der Bergstrasse, Germany)
|June 23, 2025
概括
这项研究引入了无形晶体混合化 (acm-BN) 用于平衡的记忆转换. 这种新材料提供较低的SET电压和更好的稳定性,性能优于六角形和无形化膜.
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:
- 二维化 (BN) 绝缘层对记忆设备来说是有前途的.
- 晶体六角形BN (h-BN) 具有高的SET电压;无形BN (a-BN) 具有不稳定的RESET特性.
- 的空缺是BN电影中记忆行为的关键.
研究的目的:
- 为平衡电阻切换合成和表征无形晶体混合物BN (acm-BN).
- 调查BN薄膜结构对记忆性能的影响.
- 在基于BN的memristors中实现低SET电压和增强的RESET稳定性.
主要方法:
- 在不同温度 (930°C和990°C) 下使用低压化学蒸汽沉积合成acm-BN薄膜.
- 使用高分辨率传输电子显微镜 (HR-TEM) 的结构分析.
- 记忆特性的电特性,包括SET电压,RESET稳定性,保留时间和电位线性.
主要成果:
- 在990°C生长的acm-BN薄膜呈现混合无形晶体结构,使低电压线丝形成和急剧破裂.
- 与h-BN (9.2 V) 相比,acm-BN显示出明显较低的初始SET电压 (3-5 V).
- 与a-BN相比,acm-BN显示稳定的RESET周期,长时间保留 (>10,000s) 和优越的长期增强线性 (β=1.4) 以提高学习效率 (87.26%) 相比.
结论:
- 形态晶体混合物BN结构对于实现平衡和稳定的记忆转换至关重要.
- 在高性能,可靠的memristor应用中,acm-BN为纯 h-BN 和 a-BN 提供了一个有前途的替代方案.
- 这种方法提高了神经形态计算中的设备效率和学习能力.
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