57 citations · 162 across the 12 of their papers we have counts for
12 papers
Optimization of fluid mixing by reinforcement learning using limit cycles of a dynamical system
Masaki Shimizu, Daiki Watanabe, Takumi Aoyagi +1
We propose a method to overcome the difficulties encountered when applying reinforcement learning to fluid mixing processes. The proposed method has two main features: (i) it does…
The ultimate state of turbulent permeable-channel flow
Shingo Motoki, Kentaro Tsugawa, Masaki Shimizu +1
Direct numerical simulations have been performed for heat and momentum transfer in internally heated turbulent shear flow with constant bulk mean velocity and temperature, …
Transitional channel flow: A minimal stochastic model
Paul Manneville, Masaki Shimizu
In line with Pomeau's conjecture about the relevance of directed percolation (DP) to turbulence onset/decay in wall-bounded flows, we propose a minimal stochastic model dedicated t…
Efficient reinforcement learning with partially observable for fluid flow control
Akira Kubo, Masaki Shimizu
Despite the low dimensionalities of dissipative viscous fluids, reinforcement learning (RL) requires many observables in fluid control problems. This is because the observables are…
Ultimate heat transfer in `wall-bounded' convective turbulence
Koki Kawano, Shingo Motoki, Masaki Shimizu +1
Direct numerical simulations have been performed for turbulent thermal convection between horizontal no-slip, permeable walls with a distance and a constant temperature differe…
Multi-scale steady solution for Rayleigh-Bénard convection
Shingo Motoki, Genta Kawahara, Masaki Shimizu
We have found a multi-scale steady solution of the Boussinesq equations for Rayleigh-Bénard convection in a three-dimensional periodic domain between horizontal plates with a const…