Dr Mark Ainslie

Dr Mark Ainslie is a Senior Lecturer in Superconducting Engineering in the Department of Engineering, King's College London. His research covers a broad range of aspects of applied superconductivity, primarily focused on solving technical challenges related to high-field magnets, superconducting electric machines and other superconducting power applications. His research brings together state-of-the-art materials and applied research, from fundamental materials science, to numerical modelling, to application design/testing. Dr Ainslie received the BE (Electrical & Electronic) & BA (Japanese) degree from the University of Adelaide, Australia, in 2004. He then went on to receive his MEng degree from the University of Tokyo, Japan, in 2008 and his PhD from the University of Cambridge in 2012. From 2017-2022, he was an Engineering and Physical Sciences Research Council (EPSRC) Early Career Fellow in the Bulk Superconductivity Group at the Department of Engineering at the University of Cambridge. His research focused on magnetisation techniques for bulk superconductors to develop super-strength (5 T-class), portable magnets. Prior to this (2012-2017), he was a Royal Academy of Engineering Research Fellow in the same research group, investigating various aspects of superconducting electric machine design utilising both wire – and bulk – forms of high-temperature superconducting (HTS) materials.

Mark D. Ainslie is a Senior Lecturer in Superconducting Engineering at King's College London, specializing in electrical engineering with a focus on applied superconductivity. His research explores bulk superconductors, emphasizing multiphysics analysis to enhance their performance in practical applications. Ainslie's work includes modeling trapped fields in high-temperature superconductors, investigating magnetization techniques, and analyzing AC losses in superconducting coils. His studies contribute to the development of superconducting rotating machines, magnetic energy storage systems, and advanced numerical simulations for superconducting materials. His research bridges theoretical modeling and experimental validation to advance superconducting technologies.