Name | SHIRATORI Suguru |
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Official Title | Associate Professor |
Affiliation | Dept. Mechanical Systems Engineering, Faculty of Science and Engineering |
sshrator@tcu.ac.jp | |
Web | |
Profile | My work focuses on developing the light-weight numerical simulation tools that can be applied to wide industry where the model-based development is needed. Especially, my specialty is fluid flows associated with the liquid/gas interface, for instance, liquid film flows, film coatings, breakup of droplets, material processing with melting and solidification. The fundamental approach in my research is formulating the efficient models of heat and mass transfer with applying an appropriate approximation. Recently, our research group has working on application of a rapidly growing machine learning framework to the research field of fluid dynamics. By applying a physics-informed neural networks to the partial difference equation for the liquid film flows, the computational time to obtain the solution can be largely reduced. As well as taking a role in teaching at TCU, I am an editorial member of Int. J. Microgravity Sci. Appl. |
Research Field(Keyword & Summary) |
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Representative Papers |
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Award | Best paper award, Int. J. Microgravity Sci. Appl., 2016 |
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS) | https://nrid.nii.ac.jp/ja/nrid/1000010803447/ |
Research Grants/Projects including subsidies, donations, grants, etc. | (1) Prediction of thickness undulations in coating of liquid films by means of physics-informed machine learning, Grant-in-Aid for Scientific Research (C), PI. (2) Modeling and suppression of the striation formation arising during spincoating of photoresist films, Grant-in-Aid for Research Activity Start-up, PI. |
Recruitment of research assistant(s) | No |
Affiliated academic society (Membership type) | (1) Int. J. Microgravity Sci. Appl. (Editorial Board member) (2) JSME (member) (3) JSAE (member) |
Education Field (Undergraduate level) | Fluid dynamics, Thermodynamics |
Education Field (Graduate level) | Computational Fluid dynamics, Liquid film flows, Instability & transition of flows |