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Battery Materials Group

Group Leader: Masanobu Nakayama
(Professor, Nagoya Institute of Technology)


Development and promotion of large storage batteries are indispensable for the realization of electric vehicles and smart grid networks, which are currently attracting attention as decisive factors in solving our environmental and energy problems. To deal with these problems, our group intend to develop all-solid-state batteries to improve large-battery safety and reliability, and we also intend to substitute polyvalent cation batteries for lithium batteries to increase energy densification. (Learn more)

Magnet Materials Group

Group Leader: Takashi Miyake
(AIST)


Our group combines machine-learning techniques with computational science approaches to develop and apply new methods for exploring magnet compounds. We also analyze data on microstructure and magnetization reversal obtained from experiments and simulations and clarify the coercivity mechanisms. (Learn more)

Thermal Management Group

Group Leader: Yibin Xu
(NIMS)


Our group integrates experimental methods, theory, calculations, and data science to search for and develop sophisticated thermal management materials and thermoelectric conversion materials by using ubiquitous elements. (Learn more)

Data Science Group

Group Leader: Koji Tsuda
(Professor, The University of Tokyo)


With the aim of discovering new materials by applying machine learning and AI algorithms to materials data, our group conduct both theoretical and empirical research. (Learn more)

Topological Analysis Group

Group Leader: Kazuto Akagi
(Accosiate Professor, Tohoku University)


Our group uses "topology"—a new analytical method based on mathematics—to quantitatively extract and encode structural features that are buried in disorder and complexity. We are working on expanding the data-scientific materials development targeted by the MI2I project. (Learn more)

Materials Exploration Group

Group Leader: Tamio Oguchi
(Professor, Osaka University)


Materials exploration methods and tools are developed, improved, and built up for the application to practical issues in materials science by combining information science methods including machine learning, data assimilation, and sparse modeling with materials descriptors and databases, on the basis of computational materials science simulations. (Learn more)

Materials Descriptor Platform Group

Group Leader: Ryo Yoshida
(Professor, The Institute of Statistical Mathematics)


Our group is developing the world's largest comprehensive descriptor library in the field of materials informatics. (Learn more)

Data Platform Group

Group Leader: Yibin Xu
(NIMS)


Our group is developing the NIMS Materials Database (MatNavi) and MI2I data platform contents as well as in charge of building, operating, and managing systems. (Learn more)

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