Research keywords (3)：
流体力学
, リザーバーコンピューティング
, 機械学習
Research theme for competitive and other funds (2)：
2022 - 2026 Dynamical system analysis of constructed machine learning model from time-series data
2019 - 2021 流体運動におけるエネルギーの流れの考察
Papers (6)：
Natsuki Tsutsumi, Kengo Nakai, Yoshitaka Saiki. Constructing low-dimensional ordinary differential equations from chaotic time series of high- or infinite-dimensional systems using radial-function-based regression. Physical Review E. 2023. 108. 5
Natsuki Tsutsumi, Kengo Nakai, Yoshitaka Saiki. Constructing differential equations using only a scalar time-series about continuous time chaotic dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2022. 32. 9
Miki U. Kobayashi, Kengo Nakai, Yoshitaka Saiki, Natsuki Tsutsumi. Dynamical system analysis of a data-driven model constructed by reservoir computing. Physical Review E. 2021. 104. 4
Kengo Nakai, Yoshitaka Saiki. Machine-learning construction of a model for a macroscopic fluid variable using the delay-coordinate of a scalar observable. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS SERIES S. 2020
Kengo NAKAI. Direction of Vorticity and a Refined Regularity Criterion for the Navier-Stokes Equations with Fractional Laplacian. Journal of Mathematical Fluid Mechanics. 2019. 21. 21
