Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning
Predicting the phase precipitation of multicomponent alloys, especially the Ni-base superalloys, is a difficult task.In this work, we introduced a dependable and efficient way to establish the relationship between composition and detrimental phases in Ni-base superalloys, by integrating high throughput experiments Syrup Dispensers and machine learn