42 citations · 60 across the 6 of their papers we have counts for
6 papers
Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries
Kazuto Ando, Rahul Bale, Akiyoshi Kuroda +1
Numerical simulations in industrial applications often require performing numerous high-precision computations parameterized by specific experimental conditions. For instance, in v…
Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19
Kazuto Ando, Rahul Bale, ChungGang Li +3
The fastest supercomputer in 2020, Fugaku, has not only achieved digital transformation of epidemiology in allowing end-to-end, detailed quantitative modeling of COVID-19 transmiss…
Quantifying the COVID19 infection risk due to droplet/aerosol inhalation
Rahul Bale, Akiyoshi Iida, Masashi Yamakawa +2
The dose-response model has been widely used for quantifying the risk of infection of airborne diseases like COVID-19. The model has been used in the room-average analysis of infec…
A one-sided direct forcing immersed boundary method using moving least squares
Rahul Bale, Amneet Pal Singh Bhalla, Boyce E. Griffith +1
This paper presents a one-sided immersed boundary (IB) method using kernel functions constructed via a moving least squares (MLS) method. The resulting kernels effectively couple s…
CUBE: A scalable framework for large-scale industrial simulations
Niclas Jansson, Rahul Bale, Keiji Onishi +1
Writing high performance solvers for engineering applications is a delicate task. These codes are often developed on an application to application basis, highly optimized to solve…
Separability of drag and thrust in undulatory animals and machines
Rahul Bale, Anup A. Shirgaonkar, Izaak D. Neveln +3
For nearly a century, researchers have tried to understand the swimming of aquatic animals in terms of a balance between the forward thrust from swimming movements and drag on the…