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physics.flu-dyn2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
Yuki Yasuda, Ryo Onishi
This paper investigates the super-resolution (SR) of velocity fields in two-dimensional fluids from the viewpoint of rotational equivariance. SR refers to techniques that estimate…
physics.flu-dyn2022★ 15 cited
Effects of surface tension reduction on wind-wave growth and air-water scalar transfer
Keigo Matsuda, Satoru Komori, Naohisa Takagaki +1
Effect of surface tension reduction on wind-wave growth is investigated using direct numerical simulation (DNS) of air-water two-phase turbulent flow. The incompressible Navier-Sto…
physics.flu-dyn2018★ 1 cited
Large-scale intermittency and rare events boosted at dimensional crossover in anisotropic turbulence
Keiko Takahasi, Koji Goto, Ryo Onishi +1
Understanding rare events in turbulence provides a basis for the science of extreme weather, for which the atmosphere is modeled by Navier-Stokes equations (NSEs). In solutions of…