Novel air guiding microstructured optical fibres

空心芯光纤引导光在一个空心芯中，这个空心芯被一个精心设计的微结构包围，该微结构可以设计成将光限制在空气芯中并将其引导进去。与完全由玻璃制成的传统光纤相比，空心光纤具有许多优点，例如超低延迟，更线性的行为，以及更低损耗的潜力。然而，对于它们的物理引导机制和能够达到最佳性能的最佳微观结构设计知之甚少。在这个项目中，我们将研究基本的引导机制，并将机器学习技术与有限元分析（FEA）相结合，以优化各种应用的微结构光纤包层，如短距离数据通信和电力输送。主要目标：-加强对新型空心芯纤维引导机制的物理理解；-开发一个结合机器学习和有限元分析的框架，以优化空心芯纤维包层几何形状；-识别并将纤维应用的特定要求纳入框架；-设计新一代纤维；-与研究小组合作，努力实现这些设计。

Hollow core optical fibres guide light in a hollow core surrounded by a delicately engineered microstructure that can be designed to confine light into the air core and guide it therein.Hollow core fibres have many advantages over conventional optical fibres totally made of glass, such as an ultra-low latency, a much more linear behaviour, and the potential for lower loss. However, fairly little is yet known about their physical guidance mechanism and about the optimum microstructure design that can lead to ultimate performances.In this project we will study the fundamental guidance mechanisms and apply machine learning techniques combined with finite element analysis (FEA) to optimise microstructured optical fibre claddings for various applications, such as short reach data communication and power delivery. Key objectives:- Develop enhanced physical understanding of the guidance mechanism in novel hollow core fibres;- Develop a framework that incorporates both machine learning and FEA to optimise hollow core fibre cladding geometries;- Identify and incorporate fibre application specific requirements into the framework;- Generate next generation fibre designs;- In collaboration with the research group, work towards the fabrication of these designs.