日本金属学会2024年秋期(第175回)講演大会

Presentation information

ポスターセッション

3.Microstructure » Microstructure

[P] P7~P25

Wed. Sep 18, 2024 12:00 PM - 1:30 PM Poster Session Room1 (Assembly Hall at Osaka Univ. Hall)

12:00 PM - 1:30 PM

[P21] Data Assimilation of Multi-Phase Model based on Physically Informed Neural Network

*Chang Liu1, Meng Zhang2, Satoshi Noguchi3, Junya Inoue2 (1. EngUTokyo, 2. IIS UTokyo, 3. JAMSTEC)

Keywords:Phase-field Simulation、Physically Informed Neural Networks、Data Assimilation、Machine Learning

Phase-field data assimilation applying Physically Informed Neural Networks facilitates stable large-scale simulations, being expected to estimate internal parameters in complex phase-field models.