Efficient Construction Method for Phase Diagrams Using Uncertainty Sampling

Kei Terayama, Ryo Tamura, Yoshitaro Nose +4

We develop a method to efficiently construct phase diagrams using machine learning. Uncertainty sampling (US) in active learning is utilized to intensively sample around phase boun…