可控调节的氧空位诱导调整的memristive行为直接差异操作与无晶体管的memristor
Qin Xie1, Xinqiang Pan1,2, Wenbo Luo1,2
1State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China. panxinqiang@uestc.edu.cn.
Nanoscale
|August 21, 2023
概括
研究人员开发了使用离子辐射的新型无晶体管记忆器,以在酸薄膜中创建氧气空缺. 这一创新使得直接微分运算能够实现更高效的神经形态计算硬件.
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:
- 神经形态计算需要高效,低功耗,高密度的硬件.
- 无晶体管的memristors和无减法差分电路是进步的关键.
研究的目的:
- 开发无晶体管的memristors,具有可控制的memristive行为.
- 在没有传统减法组件的情况下实现差分操作电路.
- 推进神经形态计算硬件效率和集成.
主要方法:
- 单晶LiNbO3薄膜的制造. 一种单晶LiNbO3薄膜的制造.
- 通过离子辐射控制引入氧气空缺 (OVs).
- 分析OV分布对记忆行为的影响.
主要成果:
- 制造两个没有晶体管的memristor,具有相反的memristive行为.
- 展示了优秀的突触可塑性和多层次的抵抗状态.
- 在没有减法电路的情况下,成功实现了直接差分操作的硬件实现.
结论:
- 创建无晶体管的memristors的新途径,并在神经形态计算中实现无减法微分运算.
- 对简化外围电路,增加集成密度,降低功耗和延迟的潜力.
- 迈向更高效,更紧的神经形态硬件的重要一步.
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