可调节的离子能量屏障调节通过化物化物兴奋剂可用于可靠和动态的记忆神经形态系统
Jongmin Bae1, Choah Kwon2, See-On Park1
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Science advances
|June 7, 2024
概括
化物化物合剂增强了对人工智能应用的memristor统一性和性能. 在二氧化记忆器中使用兴奋剂提高了可靠性和切换速度,克服了关键的商业化挑战.
科学领域:
- 材料科学 材料科学 材料科学
- 纳米技术纳米技术
- 计算机工程 计算机工程
背景情况:
- 记忆神经形态计算为人工智能提供了低功耗和高速.
- 由于随机离子运动的可靠性问题阻碍了商业化.
研究的目的:
- 为了提高memristor的统一性和性能,使用异构化物杂剂.
- 为了研究兴奋剂对TiO2-memristors的影响.
主要方法:
- 用添加的TiO2-记忆器的实验制造.
- 原子模拟包括迁移障碍计算和沃罗诺伊体积分析.
主要成果:
- 观察到设备变化减少,切换速度提高,切换窗口增强.
- 化物离子吸引氧气空缺,改善它们的再分配和均性.
- 氧空位的迁移能量的减少促进了离子扩散和高速切换.
结论:
- 化物化物合剂,特别是化物在TiO2-,是提高memristor可靠性的有效方法.
- 这种方法有助于为神经形态系统开发强大的硬件.
- 建议基于离子迁移的memristor制造的设计原则.
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