[P] P7~P25

[P21] 物理正則ニューラルネットワークを用いたマルチフェーズフィールモデルの同化

*劉 暢¹、張 猛²、野口 聖史³、井上 純哉² (1. 東大工（院生）、2. 東大生研、3. JAMSTEC)

キーワード：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.