基于铁电Cu缺乏铜硫酸的memristors用于多层存储和神经形态计算
Mengdie Li1, Yanyan He1, Chengyang Wang1
1College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
Small (Weinheim an der Bergstrasse, Germany)
|June 23, 2025
概括
缺乏铜的铜二酸盐 (CIPS*) 在高级内存应用中表现出稳定的电阻切换行为. 这种二维铁电材料可以实现高精度的多层存储和神经形态计算.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 纳米技术 纳米技术
背景情况:
- 了解二维材料中的铁电和离子活性对于设备性能至关重要.
- 铜基酸盐 (CIPS) 显示Cu+迁移和导电丝的形成,影响其性能.
- Cu缺陷CIPS (CIPS*) 被研究以探索新的电阻切换 (RS) 行为.
研究的目的:
- 为潜在的memristor应用研究Cu缺乏CIPS (CIPS*) 的电阻切换特性.
- 探索数字和模拟电阻开关行为及其潜在机制.
- 评估基于CIPS*的memristors在多层存储和神经形态计算中的性能.
主要方法:
- 制造缺乏Cu的CIPS (CIPS*) 薄膜.
- 电阻开关属性的表征,包括数字和模拟行为.
- 设备制造和测试耐用性,启/关比和突触功能.
- 实现人工神经网络用于手写数字识别.
主要成果:
- CIPS*显示稳定的非挥发性数字和模拟电阻切换.
- 在低阻力状态下,金属In4/3P2S6 (IPS) 的形成导致高的ON/OFF比率 (5 × 10 ^ 5) 和耐久性 (> 2000 个周期).
- 模拟显示了波幅依赖和极性独立的长期增强和减弱.
- 一个基于CIPS*的人工神经网络在手写数字识别中实现了91.15%的准确性,在变化的情况下保持了90.71%.
结论:
- 量子缺陷CIPS (CIPS*) 是可靠的2D铁电材料,用于可靠的memristors.
- 观察到的电阻切换行为适用于多层数据存储.
- 基于CIPS*的突触记忆器显示出神经形态计算应用的巨大潜力.
- 这项研究提供了通过受控材料缺陷来调节设备性能的见解.
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