Quantum Dot synthesis in Continuous Flow via Self-Optimising Nanoscale Manufacturing Platforms

该项目将建立平台技术，包括以计算智能为基础的先进化学反应器，可以扩大先进纳米粒子产品（量子点）的生产，而不会损失研究实验室实现的对结构尺寸的精确控制。它将建立实验室反应器，可以编程来监控纳米粒子的形成过程中的真实的时间和相关的形成条件，最终产品颗粒的属性。它将整合和优化机器学习算法，通过条件的“自我优化”指导反应堆实现所需的规范。优化的实验室纳米颗粒形成工艺将被转移到几个制造环境中，包括研发工艺实验室和工业现场的制造设施，并将展示规模扩大。该职位将在化学学院和利兹工艺研究与开发学院工作。它与EPSRC数字制造主题直接一致，并将与EPSRC资助NanoMan，DeepMatter和CPI的合作伙伴进行互动，以开发用于量子点生成的自动化反应器平台，并与谢菲尔德大学的合作者合作整合机器学习算法。

This project will build platform technologies, comprising advanced chemical reactors underpinned by computational intelligence, which can scale up production of advanced nanoparticle products (quantum dots) without loss in the precise control over structural dimensions which are achieved in research laboratories. It will build laboratory reactors which can be programmed to monitor the nanoparticle formation process in real time and relate formation conditions to the final product particle's properties. It will incorporate and optimise machine learning algorithms which will direct the reactors towards achieving the desired specification through 'self-optimisation' of conditions. The optimised laboratory nanoparticle formation processes will be transferred to several manufacturing environments, including R&D process laboratories and manufacturing facilities at industrial sites and scale up will be demonstrated. The position will be based at the School of Chemistry and the Institute of Process Research and Development at Leeds. It aligns directly with the EPSRC Digital Manufacturing theme and there will be interaction with partners of the EPSRC grant NanoMan, DeepMatter and CPI, to develop automated reactor platforms for quantum dot generation and work with collaborators at the University of Sheffield in the integration of machine learning algorithms.