时间适应性使得基于MoS2光电晶体管的高效传感器容器计算成为可能
Xinlong Zeng1, Shule Xu2, Xiangwei Su1
1College of Integrated Circuits, ZJU-Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang IC Innovation Platform, Zhejiang University, Hangzhou, 310027, China.
Small (Weinheim an der Bergstrasse, Germany)
|August 16, 2025
概括
这项研究优化了光电子储库计算 (RC) 以实现动态目标识别,通过将MoS2光电晶体管的色记忆时间尺度 (τ) 与输入刺激时间间隔 (Δt) 相匹配. 最佳的 Δt/τ 比率显著提高了手势识别的准确性.
科学领域:
- 光电学是指光电子产品.
- 材料科学 材料科学 材料科学
- 计算机科学 计算机科学
背景情况:
- 储库计算 (RC) 是有效的时间信号处理和高效的硬件开发.
- 在RC系统中,动态目标识别受到事件时间尺度和光电子特性不匹配的挑战.
研究的目的:
- 将事件时间信息与RC中的光电子物理节点的时间动态联系起来.
- 探索色记忆时间尺度 (τ) 与输入刺激时间间隔 (Δt) 的匹配,以提高RC性能.
主要方法:
- 使用MoS2光传感器制造光电子物理节点,具有多种色记忆时间尺度 (τ).
- 通过改变 Δt/τ 的比率来评估水库状态的线性分离性 (R2).
- 使用5位光学输入测试手势识别的准确性.
主要成果:
- 当Δt/τ在10-20%以内时,可以实现出色的线性分离性 (R2为0.988±0.006).
- 在最佳的Δt/τ条件下,手势识别准确度超过85.2%.
- 较低的R2和识别率 (<77.6%) 当 Δt/τ 落在最佳范围之外时观察到.
结论:
- 系统量化时间缩放参数和光学输入时间间隔之间的关系至关重要.
- 为高效率的传感器内RC系统设计临时适应性光电子节点提供了一种方法.
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