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Field
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to produce primary aluminium. Therefore, using as much end-of-life (EoL) scrap as possible to formulate Constellium’s portfolio alloy is an effective way to help to achieve the target of more sustainable
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silicon sensor chips for single-cell and single-molecule analysis. These sensor chips have the potential to provide fundamental insights into cellular and molecular heterogeneity, deepening our
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for the integration of heterogeneous systems with large chips. Thus, we propose this thesis project to develop a novel approach for process (FOWLP) to integrate heterogeneous active chips (HBM, ASIC) and passive
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-efficient 1-bit foundation models (BitFM). It includes decision mechanisms for activation based on network conditions, energy availability, and task frequency. The project also seeks to enhance BitFM
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Supervisors: Dr Thomas Hudson, Maths, Dr Thomasina Ball, Maths Project Partner: Syngenta Many industrial companies dry their chemical products into powders to aid wide transportation and distribution. This process often takes place in large scale driers where the material is heated and broken up...
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This project will explore the use of integrated photonic chip technology to realise all of the components of an atomic clock on a single chip. It will be conducted within the context
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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc
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identifying and prioritising conservation action especially challenging. This project aims to develop a low-cost, field-based, portable and easy-to-use Lab-on-a-Chip device for environmental DNA monitoring
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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microstructural mechanisms. If the roll force is not precisely controlled, it can negatively impact the final properties of the steel sheet, undermining previous optimization efforts and increasing scrap rates