Density gradient
Jet fluid (passive scalar)
LES of jet mixing
in supersonic crossflows
Kawai & Lele, AIAA J. 2010
Center for Next Generation Aircraft Research
Society for high Reynolds number aerodynamics
Welcome to Kawai-Asada-Kawai Laboratory
Welcome to Kawai Laboratory (Aerodynamic Design Research Group) at the Department of Aerospace Engineering, Tohoku University.
Our research combines theoretical analysis, computational physics, data science, and high-performance computing to develop novel high-fidelity numerical simulation methodologies. These methods enable us to uncover the fundamental flow physics of complex, compressible, multi-scale, and multi-physics flows in aerospace engineering, as well as to create next-generation aircraft aerodynamic design methods. Our interests span a broad range of topics in fluid mechanics, with a focus on compressible flow, turbulence, shock waves, mixing and combustion, high-fidelity numerical methods, data science, physical modeling, machine learning, uncertainty quantification, and related areas in aerospace engineering. For details on current and past projects, please see Research.
Our group is also engaged in the MEXT Program for Promoting Researches on the Supercomputer Fugaku, focusing on digital transformation (DX) in aircraft development through digital flight. Using the world-class computing power of Fugaku, we demonstrate aircraft digital flight by integrating high-fidelity simulations with data-driven science. In collaboration with the Mitsubishi Heavy Industries Group, we are advancing innovative DX technologies for next-generation aircraft design and extending the outcomes of this research to a wide range of industrial products.
We are currently not accepting IMAC-G students or internship applicants unless Soshi Kawai receives a direct email recommendation from a professor who knows the applicant well.
Compressible flow physics and computational engineering in the Kawai Laboratory
Welcome to Kawai Laboratory (Aerodynamic Design Research Group) at the Department of Aerospace Engineering, Tohoku University.
Our research combines theoretical analysis, computational physics, data science, and high-performance computing to develop novel high-fidelity numerical simulation methodologies. These methods enable us to uncover the fundamental flow physics of complex, compressible, multi-scale, and multi-physics flows in aerospace engineering, as well as to create next-generation aircraft aerodynamic design methods. Our interests span a broad range of topics in fluid mechanics, with a focus on compressible flow, turbulence, shock waves, mixing and combustion, high-fidelity numerical methods, data science, physical modeling, machine learning, uncertainty quantification, and related areas in aerospace engineering. For details on current and past projects, please see Research.
Our group is also engaged in the MEXT Program for Promoting Researches on the Supercomputer Fugaku, focusing on digital transformation (DX) in aircraft development through digital flight. Using the world-class computing power of Fugaku, we demonstrate aircraft digital flight by integrating high-fidelity simulations with data-driven science. In collaboration with the Mitsubishi Heavy Industries Group, we are advancing innovative DX technologies for next-generation aircraft design and extending the outcomes of this research to a wide range of industrial products.
We are currently not accepting IMAC-G students or internship applicants unless Soshi Kawai receives a direct email recommendation from a professor who knows the applicant well.
Compressible flow physics and computational engineering in the Kawai Laboratory
What's New
| 2025.12.25 |
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Kawai will give a talk at the 5th Supercomputer "Fugaku" Symposium and will also participate in a panel discussion with science communicator Takumi Yobinori. |
| 2025.12.18 |
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Nine members of our group―Asada, Kawai, Fujimoto, Homma, Omori, Hattori, Tadenuma, Yamanaka, and Yoshida―presented their research at the 39th JSFM Computational Fluid Dynamics Symposium, held in Kitakyushu, Japan. |
| 2025.12.05 |
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Congratulations to Hattori for receiving the Research Fellowship for Young Scientist DC1 of the Japan Society for the Promotion of Science (JSPS)! |
| 2025.11.24 |
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Five members of our group, Kawai, Iwatani, Maejima, Itsui, and Yoshida, presented their research at the APS 78th Annual Meeting of the Division of Fluid Dynamics (APS-DFD), held in Houston, USA. |
| 2025.11.13 |
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An interview featuring Hattori, recipient of the Supercomputer Fugaku Next-Generation Researcher Award "Development of a highly efficient basis function-based KEEP scheme in a low B/F environment for post-Fugaku", has been released. Congratulations! |
| 2025.10.23 |
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Check out our new paper, Compact representation of transonic airfoil buffet flows with observable-augmented machine learning published in Journal of Fluid Mechanics. This study demonstrates that machine learning enables a low-dimensional representation of complex high-Reynolds-number buffet dynamics, thereby facilitating accurate reconstruction of the flow field using a limited number of sensors on the airfoil. |