Machine-learning prediction of thermal expansion coefficient for perovskite oxides with experimental validation

The support vector machine model produced the best results with a root mean square error of 1.54 × 10 −6 K −1 . The model was applied to 3 593 726 possible AA′BB′O 3 compositions, resulting in 150 451 predictions in the model confidence region.