COMPSAFE2025
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Session Details

Oral Presentation[MS-10] Deep and Machine Learning Methodology in the Context of Application to Computational Mechanics

[240401-05]MS-10-1

Wed. Jul 2, 2025 1:00 PM - 3:00 PM JST
Wed. Jul 2, 2025 4:00 AM - 6:00 AM UTC
Room 404(Room 404)
Yasushi Nakabayashi (Toyo University)
1:00 PM - 1:20 PM JST(4:00 AM - 4:20 AM UTC)

[240401-05-01]DDM-PINN method for considering boundary conditions inside the analysis domain

*Masao Ogino1, Shin-ichiro Sugimoto2 (1. Daido University, 2. Hachinohe Institute of Technology)
1:20 PM - 1:40 PM JST(4:20 AM - 4:40 AM UTC)

[240401-05-02]Neural network-based eddy-viscosity prediction for wake flow field of Ahmed model

*Songyuan Hu1, Yiping Wang1, Shiqiang Wen1, Jian Zhao1 (1. Wuhan University of Technology)
1:40 PM - 2:00 PM JST(4:40 AM - 5:00 AM UTC)

[240401-05-03]Accurate inverse analysis of incompressible fluid flow using physics-informed neural networks with implicit distance functions and an adaptive weight tuning method

*Shota Deguchi1, Mitsuteru Asai1 (1. Kyushu University)
2:00 PM - 2:20 PM JST(5:00 AM - 5:20 AM UTC)

[240401-05-04]Analysis of partial differential equations using novel physics-informed neural network techniques

*Der Liang Young1 (1. National Taiwan University)
2:20 PM - 2:40 PM JST(5:20 AM - 5:40 AM UTC)

[240401-05-05]A machine learning technique for predicting fluid flow at different conditions based on physics-informed deep operator networks

*Junya Onishi1, Harutaka Kitagawa2, Makoto Tsubokura1,2 (1. RIKEN Center for Computational Science, 2. Kobe University)
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