[P] P241~P250

[P250] Data Assimilation of Multi-Phase-Field Model based on Physically-Informed-Neural-Networks

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

Keywords:

PINNs,phase field,data assimilation,polycrystalline evolution

A PINNs-based MPF approach enables stable polycrystalline grain growth prediction under large scale and interface mobility estimation in 1D and 2D cases, offering insights for materials design.