Digital Atomic-Precision Manufacturing

数字原子精密制造

• 批准号: 2751561
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2751561
• 关键词: Digital; Atomic; Precision; Manufacturing

The aim of this project is to implement hand-crafted algorithms and data-driven machine learning/AI-based computing techniques to significantly ease and refine the characterisation and interpretation of real-time signals from highly dynamic processes. One focus idea would be to introduce a complementary optical in-operando measurement capability for the Scanning Electron Microscope via coupling in a photonic crystal fibre or new range of smart local shower head opportunities and prototype platform with in-situ feedback loops that can be automated. This new operando platform can then be used to explore the growth of atomically thin device materials (such as 2D layers, nanotubes and nanowires) as well as collaborate on many applications and projects including optoelectronics, THz metamaterials, spintronics and biosensors, reactor manufacturers and metrology companies.

该项目的目的是实施手工算法和数据驱动的机器学习/基于AI的计算技术，以显著简化和细化来自高度动态过程的实时信号的表征和解释。一个重点想法是通过光子晶体光纤或新系列的智能本地淋浴头机会和具有可自动化的原位反馈回路的原型平台中的耦合，为扫描电子显微镜引入互补的光学操作中测量能力。然后，这个新的操作平台可用于探索原子级薄器件材料（如2D层，纳米管和纳米线）的生长，并在许多应用和项目上进行合作，包括光电子学，太赫兹超材料，自旋电子学和生物传感器，反应器制造商和计量公司。