Study of superconductors using machine learning

The development of simulation and modelling methods has made the creation of databases dedicated to materials research possible. This has enable scientists to apply machine learning algorithms to solid-state materials research. One area of research is the development of superconducting materials. This work analyses more than ten thousand superconducting compounds and uses classification and regression algorithms to predict the temperature at which the electrical resistivity vanishes.