Novel photonic devices for optical neural networks

用于光神经网络的新型光子器件

• 批准号: 2597128
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2597128
• 关键词: Novel; photonic; devices; optical; neural

The project will start by developing a single pixel as the fundamental building block of an optical neural network system. The pixel will consist of a grating structure supporting a guided mode resonance that acts as a reflector. By realising the grating in an electro-optically tunable material such as Indium Tin Oxide (ITO), the reflectivity can be controlled electrically. The particular challenge is to control the material parameters using our in-house sputtering system and design the device structure such that either the amplitude or the phase of the beam can be modulated. Here, the student will benefit from the body of existing work on guided mode resonances developed for sensing applications; for example, we are now able to detect refractive index changes of Dn<10-5, which means that similarly small electro-optically induced index changes will lead to a noticeable modulation of the beam, opening the prospect for low-power and high-speed operation.The project incorporates design and simulation, materials research and fabrication as well as structural and optical characterisation, which gives the student the satisfaction of being in charge of all relevant elements of their research. The student will be part of a vibrant interdisciplinary team and be exposed to a range of related research areas offering exciting cross-fertilisation opportunities regarding materials, devices (incl. modelling), nanofabrication and applications. They will also be exposed to industrial reality through our regular meetings with Optalysys, a local SME who are commercialising a similar optical neural network system.

该项目将首先开发单个像素作为光学神经网络系统的基本构建模块。像素将由支持用作反射器的导模共振的光栅结构组成。通过在诸如氧化铟锡（ITO）的电光可调谐材料中实现光栅，可以电控制反射率。特别的挑战是使用我们的内部溅射系统控制材料参数，并设计器件结构，以便可以调制光束的振幅或相位。在这里，学生将受益于身体现有的工作导向模式共振开发的传感应用;例如，我们现在能够检测到Dn<10-5的折射率变化，这意味着同样小的电光诱导的折射率变化将导致光束的显著调制，为低功率和高速操作打开了前景。该项目结合了设计和仿真，材料的研究和制造以及结构和光学特性，这给学生的满意度负责他们的研究的所有相关元素。学生将成为一个充满活力的跨学科团队的一部分，并接触到一系列相关的研究领域，提供有关材料，设备（包括）令人兴奋的交叉受精的机会。建模）、纳米纤维和应用。他们还将通过我们与Optalysys的定期会议接触工业现实，Optalysys是一家正在商业化类似光学神经网络系统的当地中小企业。