通过电极工程来增强Ta2O5/HfO2基于Memristors的物理随机性,以实现真正的随机数生成
Bei Jiang1,2, Yong Wang1, Yahui Qing1
1Key Laboratory of Intelligent Sensing System and Security of the Ministry of Education, Hubei Key Laboratory of Micro-Nanoelectronic Materials and Devices, School of Microelectronics, Hubei University, Wuhan 430062, China.
ACS nano
|October 9, 2025
概括
具有单极开关特性的memristor设备为真正随机数生成器 (TRNG) 提供了增强的性能. 这项研究表明,一种新的TRNG实现了高吞吐量,并通过了安全应用的严格随机性测试.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 真正随机数生成器 (TRNG) 对于安全的数据传输至关重要.
- 记忆器利用固有的切换变化,为TRNG提供了一个有前途的途径.
- 顶部电极材料对TRNG应用的memristor特性的影响需要详细调查.
研究的目的:
- 研究不同顶部电极 (Ag,Ta,Pt) 的Ta2O5/HfO2/Pt记忆体的性能和不稳定性.
- 探索这些memristors作为TRNG电路的源的潜力.
- 为了优化基于memristor的TRNG,以提高吞吐量和连续性.
主要方法:
- 使用Ag,Ta和Pt顶部电极制造和表征Ta2O5/HfO2/Pt记忆体.
- 分析memristor切换行为 (挥发性,双极性,单极性) 和相应的传导机制.
- 将单极记忆器集成到TRNG电路中,并使用NIST SP 800-22随机性测试进行性能评估.
主要成果:
- 带有Ag,Ta和Pt电极的memristors分别表现出挥发性,双极性和单极性.
- 单极Pt/Ta2O5/HfO2/Pt设备证明了其适用于提高TRNG吞吐量和连续性.
- 一个基于 memristor 的优化单极 TRNG 实现了 ~160 kb/s 的吞吐量,并通过了所有 15 个 NIST SP 800-22 测试.
结论:
- 单极记忆体作为高性能TRNG的有效源.
- 开发的基于memristor的TRNG显示出在物联网 (IoT) 应用中保护加密传输的巨大潜力.
- 通过电极选择量身定制memristor特性是优化TRNG性能的关键.
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