Review on Perovskite-Type Compound Using Machine Learning

Perovskite is a kind of promising class of materials nowadays because of its exciting performance in energy, catalysis, semiconductor, and many other areas. Machine learning is a potential method by using big data to mine the deep hidden laws of the data and make some predictions of the new data. Applying machine learning method in perovskite is a meaningful attempt to explore the new material with new properties and to predict the properties of new materials. This review shows recent progress of perovskite using machine learning, and these attempts show the success of combining big data technique and material science which give us the new direction to explore the application of machine learning method and the new tools for material science.