Session Details
AI and fluid dynamics1
Fri. Sep 19, 2025 9:20 AM - 10:40 AM JST
Fri. Sep 19, 2025 12:20 AM - 1:40 AM UTC
Fri. Sep 19, 2025 12:20 AM - 1:40 AM UTC
room D(B4 building West K202)
Chair:Koji Fukagata(Keio University)
[1-83]APPLICATION OF PHYSICS-INFORMED NEURAL NETWORKS TO FLOWS IN NON-STRAIGHT CHANNEL GEOMETRIES
*Yuki Ohara1, Daichi Moteki2, Hiroyasu Yasuda3 (1. Graduate School of Science and Technology, Niigata University, 2. Big Data Activation Research Center, Niigata University, 3. Research Institute for Natural Hazards and Disaster Recovery, Niigata University)
[1-84]Shape optimization of flow around a two-dimensional body using a PINN with boundary conditions imposed as hard constraints
*Ayato Hirayama1, Sho Watanabe2, Yusuke Yugeta1, Takumi Endo1, Yosuke Hasegawa3 (1. Department of Mechanical Engineering, Graduate School of Engineering, The University of Tokyo, 2. Development Division of Komatsu Ltd, 3. Institute of Industrial Science, the University of Tokyo)
[1-85]A Study on Physics-informed DeepONet for Efficient Fluid Flow Prediction under Diverse Conditions
*Tokiya Tanaka1, Junya Onishi2, Makoto Tsubokura1,2 (1. Kobe University, 2. RIKEN)
[1-86]Predicting Complex Flow Using Arbitrary-Resolution Machine Learning
*Masanobu Horie1, Naoto Mitsume2 (1. RICOS Co. Ltd., 2. University of Tsukuba)