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The Program for Promoting Research on the Supercomputer Fugaku is a project implemented by MEXT since FY2020 to support the early creation of results that directly lead to the solution of scientific and social issues by fully utilizing the strengths of Fugaku.
In FY2023, 20 research projects in four scientific and social challenges areas are expected to produce new results, including integration and collaboration with AI and data science, collaboration with industry for social implementation, initiatives leading to applications for the next generation, and new developments in basic science.

Realization of a Society of Good Health and Longevity
Project Project Leader
Simulation/AI-driven next-generation medical treatment and drug discovery performed on Fugaku Yasushi Okuno, Kyoto University
Development of human digital twins for cerebral circulation using Fugaku Satoshi Ii, Tokyo Metropolitan University
Development and application of large-scale inferences based on biomolecular simulators Yasuhiro Matsunaga, Saitama University
Realization of a Society of Good Health and Longevity / Development of Basic Science, New Research Fields
Project Project Leader
Multi-species whole-brain data assimilation using comprehensive measurement information and exploration of specific oscillatory activity Jun Igarashi, RIKEN
Enhancement of Industrial Competitiveness
Project Project Leader
Smart Design Realized on the Supercomputer "Fugaku" in the Society 5.0 Era Makoto Tsubokura, Kobe University
Creation of data infrastructure for data-driven polymer materials research Ryo Yoshida, The Institute of Statistical Mathematics
Realization of innovative light-energy conversion materials using Fugaku Takahito Nakajima, RIKEN
Drastic acceleration of the industrial applications of HPC through AI and research and development of new computational methods for the next era Chisachi Kato, The University of Tokyo
Computational Research on Materials with Better Functions and Durability Toward Sustainable Development via Fundamental Physics and Chemistry Yoshitaka Tateyama, National Institute for Materials Science
Development and application of a multiscale computational method for the study of the mass transport mechanisms in the fuel cell catalyst layer Kazushi Fujimoto, Kansai University
Research toward DX in aircraft development led by digital flight Soshi Kawai, Tohoku University
Data-Driven Research Methods Development and Materials Innovation Led by Computational Materials Science Momoji Kubo, Tohoku University
Disaster Prevention and Mitigation, Environmental Issues
Project Project Leader
Large-scale numerical simulation of earthquakes by Fugaku supercomputer Tsuyoshi Ichimura, The University of Tokyo
Exploring Next Generation Aerospace Mobility and its Extension to Social System via Supercomputer Fugaku Eri Itoh, The University of Tokyo
Disaster Prevention and Mitigation, Environmental Issues / Development of Basic Science, New Research Fields
Project Project Leader
Elucidation of Solar-Terrestrial Environment with Simulation and AI Hideyuki Hotta, Nagoya University
Development of Basic Science, New Research Fields
Project Project Leader
Simulation for basic science: approaching the new quantum era Shoji Hashimoto, High Energy Accelerator Research Organization
Structure and Evolution of the Universe Unraveled by Fusion of Simulation and AI Ken Ohsuga, University of Tsukuba
Search for physics beyond the standard model using very large scale lattice QCD simulation and development of AI technology toward next generation lattice QCD Takeshi Yamazaki, University of Tsukuba
Multi-wavelength Cosmological Simulations for Next-generation Surveys Jia Liu, The University of Tokyo
AI numerical spectroscopy for analyzing emergent structures of quantum entanglement in correlated quantum materials Youhei Yamaji, National Institute for Materials Science

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