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 also serves as the lead institution for the MEXT Next-Generation Computational Science Global Reach & Innovation Program (GRIP) project, "Development and Social Implementation of a Next-Generation Computational Science Platform Driven by Fluid Science." Bringing together leading researchers in science, engineering, and information science across the fields of space and solar science, environment and disaster prevention, and aerospace and transportation, the project aims to establish a next-generation computational science platform for the post-Fugaku era by advancing GPU computing, including low-precision computing, integrating advanced AI, and enabling data-driven scientific analysis.
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 also serves as the lead institution for the MEXT Next-Generation Computational Science Global Reach & Innovation Program (GRIP) project, "Development and Social Implementation of a Next-Generation Computational Science Platform Driven by Fluid Science." Bringing together leading researchers in science, engineering, and information science across the fields of space and solar science, environment and disaster prevention, and aerospace and transportation, the project aims to establish a next-generation computational science platform for the post-Fugaku era by advancing GPU computing, including low-precision computing, integrating advanced AI, and enabling data-driven scientific analysis.
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
| 2026.10.02 |
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We held the kickoff meeting for our MEXT GRIP project, "Development and Social Implementation of a Next-Generation Computational Science Platform Driven by Fluid Science," in Tokyo. The project is now officially underway! |
| 2026.10.01 |
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Our proposal, "Development and Social Implementation of a Next-Generation Computational Science Platform Driven by Fluid Science," has been selected for MEXT Next-Generation Computational Science Global Reach & Innovation Program. |
| 2026.09.30 |
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Congratulations to Yoshida on being selected as a JSPS Research Fellow (DC1) by the Japan Society for the Promotion of Science (JSPS)! |
| 2026.09.29 |
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Following last year's event, we held a joint workshop on dynamical representation learning in Awaji Island with the groups of Prof. Kawahara at Osaka University and Prof. Nakao at Institute of Science Tokyo. |
| 2026.09.26 |
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Iwatani, Fujimoto, Maejima, and Hattori presented their research at The 2026 Annual Meeting of the Japan Society of Fluid Mechanics, held in Nagano, Japan. |
| 2026.07.31 |
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Maeyama, Iwatani, Fujimoto, and Maejima presented their research at the 14th International Symposium on Turbulence and Shear Flow Phenomena (TSFP14), held in Heidelberg, Germany. |