Our group focuses on six main research themes, covering both fundamental and applied aspects of superconducting and electrical machine technologies.
We focus on optimising the design of superconducting and conventional electrical machines, improving performance, efficiency, and reliability through advanced modelling and computational methods.
We develop and refine models for AC loss in superconducting materials and coils, aiming to improve accuracy in loss prediction and guide efficient design of superconducting devices.
We integrate artificial intelligence with superconducting technologies, developing various AI-based tools for design automation, performance prediction, and data-driven discovery.
We design and develop superconducting flux pumps—a contactless excitation method.
We focus on the design and optimisation of cryogenic cooling systems, supporting stable and efficient operation of various superconducting devices and experiments.
We conduct structural modelling and analysis of superconducting electromagnets, ensuring mechanical stability and reliability under electromagnetic and thermal stresses.
This article was published on