Conventional materials design and processing in materials science and engineering  required a lot of time for experiments and calculation of material properties, and it was difficult to efficiently develop and manufacture high value-added products from a huge number of potential candidates for new materials.

Manufacturing Informatics Group aims to build a new technical basis for data-driven, innovative manufacturing by integrating informatics approaches, such as machine learning, with materials engineering ranging from materials search to manufacturing and production processes.