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Field
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engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust
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. Through choreographed interactions with movement experts, this project expects to generate machine learning strategies to understand how people and robots can reliably and fluently move together. Expected
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous
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responsive extracorporeal and implantable artificial organs. To achieve this, it pioneers advanced high-tech building blocks that can be produced both reliably and affordably. You will work independently, and
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” analysis should in principle be able to extract information beyond the limits of current techniques, its development is still in an early phase. There is a still need to develop reliable ways to robustly
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deep learning methods to enhance the predictions beyond existing data. By incorporating microstructural features into predictive models, the aim is to create a reliable data-driven modelling framework
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
exceptional reliability and durability, attributes realised through both material integrity and manufacturing process capability. Birmingham has long-standing research excellence in liquid metal cleanliness and
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subsurface layers of components and even transform their microstructure, potentially introducing additional defects. Thus, assessment of these effects on structural reliability and durability of systems