无极化场可控制的HfZrO-基于铁电电容器用于物理水库计算系统
Euncho Seo1, Eunjin Lim1, Jio Shin1
1Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, South Korea.
ACS applied materials & interfaces
|April 1, 2025
概括
氧化 (HZO) 薄膜对节能储计算具有前景. 优化的15nm HZO设备在图像识别任务中实现了93.42%的准确性,展示了高精度计算能力.
科学领域:
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
- 计算机工程 计算机工程
背景情况:
- 储计算是一种人工神经网络,由于其能源效率和最小的培训要求,在模拟时间变化的数据方面表现出色.
- 铁电式存储器设备,特别是那些使用氧化氧化 (HZO) 膜的设备,正在为先进的计算应用进行探索.
研究的目的:
- 研究HZO薄膜厚度和间层厚度对储计算的铁电记忆器件的衰变时间的影响.
- 优化HZO薄膜特性,以提高物理水库计算系统的性能.
主要方法:
- 基于HZO的铁电内存设备的制造和表征,具有不同的HZO薄膜厚度 (10,15和20纳米).
- 分析铁电性质,包括形相形成和短期记忆特征.
- 将优化的HZO设备集成到储计算系统中,以评估性能.
主要成果:
- 15纳米的HZO薄膜厚度显示出最佳的铁电特性和可靠的短期记忆.
- 优化的HZO设备表现出增强的形阶段形成.
- 使用优化的HZO设备的储计算系统在图像识别任务中实现了93.42%的平均准确性.
结论:
- 氧化 (HZO) 薄膜为储计算应用提供了显著的优势,因为它可以控制去极化场.
- 优化HZO薄膜厚度对于实现出色的铁电特性和可靠的短期记忆是至关重要的.
- 基于HZO的铁电内存设备能够进行高精度计算,其在图像识别任务中的性能证明了这一点.
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