SEEDS

Modeling of Material Microstructure Formation and Identification of Material Parameters

Researcher

TSUKADA Yuhki

Keyword

Data AssimilationPhase-Field MethodMicrostructure Formation

Contact

Research Overview

We model material microstructure formation and integrate computational models with experimental data using machine learning and data assimilation.
Our goal is to develop simulation infrastructure technologies that accelerate the development of new materials.

Related Seeds

• Establishment of Computational Materials Design Engineering Based on the Phase-Field Method
• Strength and Property Modeling of Structural Materials
• Data-Driven Process Control
• Next-Generation Material Simulations and Analyses Based on Molecular Theory of Complex Matter Systems
• Data-Driven Materials Design
• Uncertainty Quantification and Process Optimization