大脑启发的离子电子流体记忆和记忆容量装置用于自动供电的电子产品
Muhammad Umair Khan1,2, Bilal Hassan3,4, Anas Alazzam5,6
1Center for Cyber-Physical Systems - System on Chip Lab, Khalifa University, Abu Dhabi, 127788, UAE. muhammad.khan@ku.ac.ae.
Microsystems & nanoengineering
|February 28, 2025
概括
这项研究将铁流体 triboelectric 纳米发电机 (TENG) 与离子流体记忆器 (IFM) 装置集成为自动供电的神经形态计算. 该系统有效地收集能量,实现自主操作,并复制高级AI硬件的突触类功能.
科学领域:
- 材料科学 材料科学 材料科学
- 神经科学是一个神经科学.
- 电气工程 电气工程
背景情况:
- 离子流体设备对于自动供电的神经形态计算至关重要.
- 通过人工系统复制神经元活动,推动了神经形态计算的发展.
- 软物质流体装置通过溶液接口的变化动态调整导电量.
研究的目的:
- 开发一个用于自动供电的神经形态计算的集成系统.
- 增强用于自主供电的电离子流体记忆 (IFM) 设备的能量采集.
- 为了证明在流体记忆器中类似突触的学习功能.
主要方法:
- 低阻抗IFM装置与高阻抗铁流体 (FF) triboelectric纳米发电机 (TENG) 的集成.
- 整合电磁 (EMG) 信号以促进FF TENG的能源采集.
- 使用PDMS结构与FF和PAA Na+流体接口开发电压控制的memristor和memcapacitor内存.
主要成果:
- 集成的FF TENG/EMG系统增强了用于自主IFM设备供电的能源采集.
- 流体系统中的受限离子相互作用诱导离子运输歇斯底里和记忆效应.
- IFM设备成功地复制了各种电脉冲模式,并证明了短期 (STM) 和长期 (LTM) 存储.
结论:
- 开发的系统非常适合用于神经形态计算应用.
- 流体记忆器表现出类似突触的动态特征,对神经网络硬件来说是有前途的.
- 可适应的FF TENG/EMG设备和离子流体材料使先进的,自动供电的神经形态设备成为可能.
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