兴奋剂调节的横向不对称的肖特基二极管作为一个高性能自动供电的突触装置
Optics express
|September 15, 2023
概括
研究人员开发了自动供电的突触设备,使用屏障不对称性来进行神经形态计算. 这些设备收集能量,使有效的信息处理实现零消耗,这对后穆尔时代至关重要.
科学领域:
- 材料科学 材料科学 材料科学
- 计算机工程 计算机工程
- 神经科学是一个神经科学.
背景情况:
- 传统计算由于数据量增加和计算能力和而面临局限性.
- 神经形态计算提供了一个有前途的替代方案,通过模仿大脑的并行处理来提高效率.
- 对于先进的计算架构,在能源消耗和数据传输方面存在瓶.
研究的目的:
- 为了展示一个紧的,自动供电的突触设备技术用于神经形态计算.
- 通过能量收获,在突触器件中实现零能耗.
- 调整设备行为以优化信息处理和内存功能.
主要方法:
- 使用屏障不对称的设备制造.
- 化学兴奋剂来调整不对称性,并使能量收获成为可能.
- 光伏性能的表征,包括开放电路电压 (VOC) 和功率转换效率 (PCE).
主要成果:
- 展示了紧的,自动供电的突触设备,零能耗.
- 通过化学兴奋剂实现可调节的VOC高达0.77V和PCE高达6%.
- 优化的光伏功能使训练和记忆巩固的优秀编程重量状态成为可能.
结论:
- 开发的突触器件为克服后穆尔时代的计算瓶提供了一条途径.
- 具有高效能量收获的自动供电神经形态设备是可行的.
- 这项技术促进了先进的功能,如刺激强化和整合,零能源成本.
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