Our research interests are in the areas of superconductivity, magnetism, defects and thermoelectrics. Structure prediction is the driven-force to accelerate the design of novel materials. We use theoretical/computational tools to access electronic and other properties on complex structures. We are also interested in developing algorithms to be exploited in high-throughput computational screening for new materials. Machine-learning and Artificial intelligence started to make a way in our research. We combine a broad array of methods and scales, and actively interact with other teams, in Japan, Germany, Switzerland, Italy and the USA. As well as a few selected experimental teams.