Research

We are developing and applying methods for predicting temporal changes in the microstructure of metallic materials during the series of phase transformations that occur in the manufacturing process, such as solidification, grain growth, and diffusional solid transformation. We are specifically engaged in the development of a phase-field model, a method to simulate microstructure formation, and have succeeded in developing a model that calculates the diffusional phase transformation with the highest accuracy in the world. We are also working on microstructure control in various alloy systems by combining experimental approaches, atomistic approaches using molecular dynamics, and information science approaches such as data assimilation and machine learning. We are developing new theories of microstructure formation by using ultra-large scale calculations and obtaining results that lead to optimization of the actual processes.