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use a wide array of computational techniques to understand the performance of the best known oxide scintillators for these applications, examine if their performance can be optimised, and use
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science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain experience by attending international conferences and training events. Develop skills highly
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, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
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₂ and redistribute heat. This enables partial decoupling of biomass conversion and sorbent regeneration, offering flexible and dispatchable BECCS operation aligned with variable renewable energy supply
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redistribute heat within the process. This approach enables partial decoupling of biomass conversion and sorbent regeneration, offering the potential for flexible and dispatchable BECCS operation aligned with
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high-performance computing for parametric studies. Industry engagement and knowledge transfer is shared across the PI, Co-Investigators, and WSP, ensuring research outputs are translated into practical
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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. While classical boundary-layer theory assumes the non-slip condition at the surface, this project asks:how is drag modified when a slip velocity is introduced at the surface? You will use High-Performance
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-efficient and low-cost CO2 capture technology for fuel-combustion-based power plants. A longstanding challenge is to develop MIEC membranes with both high oxygen permeability and stability under operation
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to demonstrate the feasibility of energy efficient oxyfuel combustion of biomass enabled by oxygen separation membranes. The objectives are to (1) develop high-performance, stable mixed oxide ion