Nature

Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

The phase-field method is a powerful and versatile computational approach for modeling the evolution of microstructures and associated properties for a wide variety of physical, chemical, and ...
Nature

Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists’ thinking process

In materials science, machine learning has been intensively researched and used in various applications. However, it is still far from achieving intelligence comparable to that of human experts in ...