AI and big data roadmap could enable superconductor revolution

A new roadmap which lays out how AI and big data techniques could drive advances in superconductivity research and development is aiming to help to spark a tech revolution. An international team of leading engineers, physicists and computing scientists are behind the roadmap, which is the first of its kind for the field of superconductor research. Dr Mohammad Yazdani-Asrami of the University of Glasgow led the production of the roadmap, which is published as an invited paper in the Institute of Physics' journal, Superconductor Science and Technology. The paper showcases 18 short articles, produced by 40 researchers from 25 institutions around the world. Together, they offer a comprehensive guide to how the power of machine learning could help overcome challenges which have held back the creation of new technologies built with superconducting components. Superconductors are a unique group of lightweight materials which can generate strong magnetic fields and transfer or store large amounts of energy. They are also capable of conducting electricity with zero resistance, a property which sets them apart from all other conductive materials, which lose energy as heat when current flows through them.