DATA-DRIVEN FLUID DYNAMICS (DFD) --CFD AND BEYOND--

Theoretical science, experimental science, simulation science, and data science: new scientific approaches have emerged as time has progressed. Along with the progress of these scientific approaches, fluid research has also progressed.

In general, theoretical science reduces phenomena and modeling to one dimension. In experimental science, research is conducted using 0 to 2 dimensional measurements. With the improvement of computer performance, Computational Fluid Dynamics (CFD), a simulation science method, can directly treat phenomena in 3D space. On the other hand, data science, which has shown remarkable progress in recent years, has made it possible to find relationships in even higher dimensions than the three dimensions that humans can recognize.

Currently, we are in the emergent stage of Data-driven Fluid Dynamics (DFD), which is the study of fluid phenomena numerically with the help of data science.

Our laboratory aims to develop not only CFD, but also DFD as a new way to study environmental fluid dynamics.

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