OS.4-2：流体データの処理と活用（可視化，プリ・ポスト処理，データ同化，機械学習（人工知能），データ分析法，設計探査，最適化など）

[3511-14-01] Residual learning for turbulent channel flow: Toward building a data-driven SGS model

*Ryuto Saeki¹, Riku Goto², Reno Miura², Koji Fukagata¹ (1. Keio Univ., 2. Keio university graduate school)

Keywords:SGS model, Machine lerning, Denoising Convolutional Neural Network, Residual learning, Turbulent channel flow