Session Details
[AI-1]AI-Driven Approaches in Turbulence (1)
Tue. Jul 22, 2025 1:35 PM - 3:15 PM JST
Tue. Jul 22, 2025 4:35 AM - 6:15 AM UTC
Tue. Jul 22, 2025 4:35 AM - 6:15 AM UTC
Room B (Room 8)
Chair: Yosuke Hasegawa (The University of Tokyo)
[AI-1-01]DNS-CNN simulation for high-Reynolds-number viscoelastic turbulent channel flow using 3D U-Net
*Eitetsu Nakashima1, Ryo Araki1, Takahiro Tsukahara1 (1. TUS (Japan))
[AI-1-02]β-Variational autoencoder and transformer-based data-driven modeling of near-wall turbulence
*Niccolò Tonioni1, Mohammad Umair2, Lionel Agostini1, Franck Kehervé1, Laurent Cordier1, Ricardo Vinuesa2 (1. Pprime Institute, CNRS, Universitè de Poitiers, ISAE-ENSMA (France), 2. KTH Royal Institute of Technology (Sweden))
[AI-1-03]Twin experiments for data assimilation of cavitating flow around a hydrofoil assuming PIV data as the pseudo-measurement data
Shungo Okamura1, *Kie Okabayashi1 (1. Osaka University (Japan))
[AI-1-04]Data-driven model of large-scale eddies in the energy-containing range in turbulence
*Satoshi Matsumoto1, Masanobu Inubushi1,2, Susumu Goto1 (1. Osaka Univ. (Japan), 2. TUS (Japan))
[AI-1-05]Optimization of a bare turbulence model for fuel rod bundles based on PINN
Chen Zhang1, Zhenyang Sun1, *Hongyang Wei1, Sichao Tan1, Ruifeng Tian 1 (1. Harbin Engineering University (China))