Publications
Preprint/submitted
- Kai Fukami and ARAKI Ryo
“Information-theoretic machine learning for time-varying mode decomposition of separated airfoil wakes”
arXiv 2505.24132
Published
- Tomohiro Tanogami and ARAKI Ryo
“Scale-to-scale information flow amplifies turbulent fluctuations”
Physical Review Research 7, 023078 (2025) (Open Access); arXiv 2408.03635 - Wouter J. T. Bos and ARAKI Ryo
“Equilibrium and non-equilibrium statistics in inhomogeneous and unsteady turbulence”
Physical Review Fluids 10, 044603 (2025); HAL 04967602 - Shunsuke Someya, ARAKI Ryo, and Takahiro Tsukahara
“CNN for scalar-source distance estimation in grid-generated turbulence”
Applied Thermal Engineering 258, 124516 (2024) (Open Access) - ARAKI Ryo, Alberto Vela-Martı́n, and Adrián Lozano-Durán
“Forgetfulness of turbulent energy cascade associated with different mechanisms”
Journal of Physics: Conference Series 2753, 012001 (2024) (Open Access) - Tomohiro Tanogami and ARAKI Ryo
“Information-thermodynamic bound on information flow in turbulent cascade”
Physical Review Research 6, 013090 (2024) (Open Access); arXiv 2206.11163 - ARAKI Ryo, Wouter J. T. Bos, and Susumu Goto
“Space-local Navier–Stokes turbulence”
Physical Review Fluids 9, 014603 (2024); arXiv 2308.07255 - ARAKI Ryo and Wouter J. T. Bos
“Inertial range scaling of inhomogeneous turbulence”
Journal of Fluid Mechanics 978, A9 (2024); arXiv 2210.14516
Selected as “Runners-up deserving honourable mention” of Journal of Fluid Mechanics’s Emerging Scholar Best paper 2024 - ARAKI Ryo, Wouter J. T. Bos, and Susumu Goto
“Minimal model of quasi-cyclic behaviour in turbulence driven by Taylor–Green forcing”
Fluid Dynamics Research 55, 035507 (2023); arXiv 2112.03417
Selected as “Highlights of 2023” of Fluid Dynamics Research. - ARAKI Ryo and Susumu Goto
“Quasiperiodic fluctuations of von Kármán turbulence driven by viscous stirring”
Physical Review Fluids 6, 084603 (2021)
日本語の記事など
- 田之上 智宏，荒木 亮
「情報流体力学：乱流における情報の流れ」
ながれ 44 (3), 237-244 (2025)
