The material landscape is extremely vast. For example, in the chemical space of organic compounds, it is estimated that there exist more 10⁶⁰ potential materials yet to be discovered. Our mission is to uncover innovative materials from this vast unexplored space, using advanced data science technologies as a key tool.

"Innovative materials" exist in a blue ocean where data does not yet exist. Therefore, it is hard to reach there solely through interpolative predictions based on existing data. Our aim is to achieve "extrapolative discovery”. To realize this, we systematize a closed-loop process that integrates high-throughput experiment, computer experiments, machine learning, and hypothesis generation, demonstrating our concepts through the discovery of new materials across various domains.

In data-driven research, data is the most crucial resource. It is a power game where big data holders become winners. However, compared to other fields, materials research suffers from a significant shortage of data. To break through this limitation, we are forming a consortium involving numerous researchers from both academia and industry to develop the world's largest materials database.