46 citations · 116 across the 7 of their papers we have counts for
7 papers
Super-Resolution of Three-Dimensional Temperature and Velocity for Building-Resolving Urban Micrometeorology Using Physics-Guided Convolutional Neural Networks with Image Inpainting Techniques
Yuki Yasuda, Ryo Onishi, Keigo Matsuda
Atmospheric simulations for urban cities can be computationally intensive because of the need for high spatial resolution, such as a few meters, to accurately represent buildings a…
Computing differential operators of the particle velocity in moving particle clouds using tessellations
Thibault Maurel-Oujia, Keigo Matsuda, Kai Schneider
We propose finite-time measures to compute the divergence, the curl and the velocity gradient tensor of the point particle velocity for two- and three-dimensional moving particle c…
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…
Clustering of Inertial Particles in Turbulent Flow Through a Porous Unit Cell
Sourabh V. Apte, Thibault Oujia, Keigo Matsuda +3
Direct numerical simulation is used to investigate effects of turbulent flow in the confined geometry of a face-centered cubic porous unit cell on the transport, clustering, and de…
Scale-dependent statistics of inertial particle distribution in high Reynolds number turbulence
Keigo Matsuda, Kai Schneider, Katsunori Yoshimatsu
Multiscale statistical analyses of inertial particle distributions are presented to investigate the statistical signature of clustering and void regions in particle-laden incompres…
Divergence and convergence of inertial particles in high Reynolds number turbulence
Thibault Oujia, Keigo Matsuda, Kai Schneider
Inertial particle data from three-dimensional direct numerical simulations of particle-laden homogeneous isotropic turbulence at high Reynolds number are analyzed using Voronoi tes…
Super-Resolution Simulation for Real-Time Prediction of Urban Micrometeorology
Ryo Onishi, Daisuke Sugiyama, Keigo Matsuda
We propose a super-resolution (SR) simulation system that consists of a physics-based meteorological simulation and an SR method based on a deep convolutional neural network (CNN).…