Announcement for Joint Research Proposals | RIAM - Research Institute for Applied Mechanics, Kyushu University

2. SUBJECT FIELDS FOR JOINT RESEARCH

Subject-1 :	Pioneering Materials Informatics to Accelerate Energy Materials Development
Integrator :	Akira Kusaba　(Renewable Energy Dynamics)
Outlines :	The integration of computational science and data science is expected to significantly accelerate the discovery of new materials. The traditional approach, where individual researchers focus on developing synthesis methods and process design for specific materials, faces a critical limitation: the number of researchers is insufficient to match the demand for new material discoveries. As a result, materials that could be beneficial to our future may remain unimplemented in society. This designated joint research aims to develop elemental technologies with two main pillars: the automation and advancement of building crystal growth simulators based on quantum mechanics, statistical thermodynamics, and machine learning. The advancement requires close collaboration with the latest experimental measurements. Through this approach, we envision a future where material development is initially automated, and only particularly promising or materials requiring further refinement will undergo in-depth analysis by researchers. This represents the future vision of material development.

Subject-2 :	Mathematical Modeling of Non-equilibrium Phenomena in Fluids and Plasmas
Integrator :	Yusuke Kosuga　(Nuclear Fusion Dynamics) Yohei Onuki　(Earth Environment Dynamics)
Outlines :	Many systems in nature are out of equilibrium with external forcing. Examples include, but not limited to, rotating fluids with driving heat provided by the Sun, fusion plasmas with external heating. In order to understand the physics behind these problems, in addition to the observation of the phenomena, it is crucial to develop a mathematical model to understand relevant physical processes. In this research area, we aim to lay a firm foundation for the researches on environmental variations and/or fusion energy development. This is done by sharing common knowledge (in particular mathematical models) developed in each area, such as fluids, plasmas and continuum media (e.g. active matter), which we hope to lead to deeper understanding of the nature of far out-of-equilibrium states.

Subject-3 :	Data Processing Automation and Optimization using IoT and Big-Data Technologies
Integrator :	Makoto Hasegawa　(Nuclear Fusion Dynamics) Zhu Hongzhong　(Renewable Energy Dynamics)
Outlines :	With the advance of Internet-of-Things (IoT) technology, massive amounts of unstructured data are　being generated by devices and sensors in our surroundings. Simultaneously, effective methods for data collection, storage, and analysis are rapidly evolving along with the progression of big-data technologies. Data automation and optimization in data processing have become pivotal challenges across various fields. This specific research, drawing from automatic control technologies developed through experimental studies, plays a significant role in enhancing the development, accumulation, and dissemination of new technologies such as real-time data processing. The research finds applications in a wide range of fields, including data-driven control and renewable energy development. It aims to enhance problem-solving capabilities and competitiveness by fostering innovation in multi-disciplinary studies.