在连贯的光学神经网络中,用于可重新配置相相关激活功能的石墨烯/异质连接
Chuyu Zhong1, Kun Liao2, Tianxiang Dai2
1State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Nature communications
|November 1, 2023
概括
研究人员开发了用于芯片上光学神经网络 (ONN) 的新型石墨烯/异质连接设备. 这些双重功能设备能够重新配置相位激活,为先进的AI应用提供更低的能源消耗和更小的足迹.
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
- 人工智能的人工智能
背景情况:
- 光学神经网络 (ONN) 对于高级信息处理至关重要.
- 芯片上激活功能 (AF) 设备对于ONN性能至关重要,但仍在开发中.
研究的目的:
- 为了展示使用石墨烯/ (Gra/Si) 异质连接的新型,可重新配置的芯片内自动对焦设备.
- 在单个设备中实现双重功能 (调制和检测),以提高效率.
主要方法:
- 制造用于光学调制和光检测的双功能Gra/Si异质连接.
- 将这些设备集成到一个复杂值的ONN架构中.
- 在手写信件和图像识别任务上测试ONN的性能.
主要成果:
- 通过Gra/Si异质连接实现了低实验调制电压 (1V) 和功率 (0.5mW).
- 在光检测模式下实现了高响应率 (>200 mA/W).
- 通过使用开发的芯片上的ONN,在识别任务中证明了更好的准确性.
结论:
- 开发的Gra/Si异质连接为芯片上可重新配置的AF设备提供了有前途的解决方案.
- 这些设备可以为ONN提供高效,集成的光电子计算电路.
- 结果为下一代集成光电子计算铺平了道路.
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