Enhancement and Scaling of a Materials Research Data Platform

1.1 Data Processing Infrastructure (Cloud, Large-Scale Data Processing Systems, Machine Learning Frameworks, Databases, Data Structure)
1.5 Data Sharing, Data Co-Creation (Search, Data Linkage, Data Authoring. Meta-data Creating)
2.1 Material (Material Informatics, Remote Experiment, Laboratory Automation, etc.)

Masatoshi Hanai

Information Technology Center

Project Assistant Professor

In recent years, the importance of data in materials science has been increasingly emphasized. Materials data can be broadly categorized into two types: simulation data generated through theoretical calculations using supercomputers, and experimental data obtained from actual materials testing equipment. This project aims to develop the ARIM-mdx Data System, which centrally integrates materials data—traditionally managed separately in theoretical and experimental domains—into the mdx platform to promote effective utilization. The project also seeks to enable its nationwide deployment and operation.

Research collaborators

The University of Tokyo
The Japan Atomic Energy Agency
Hiroshima University
Kyushu University
Nagoya University

Related publications

M. Hanai, R. Ishikawa, M. Kawamura, M. Ohnishi, N. Takenaka, K. Nakamura, D. Matsumura, S. Fujikawa, H. Sakamoto,
Y. Ochiai, T. Okane, S. Kuroki, A. Yamada, T. Suzumura, J. Shiomi, K. Taura, Y. Mita, N. Shibata, Y. Ikuhara
“ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science” in IEEE BigData 2024