Machine learning for structure-property relationships: Scalability and limitations

Zhongzheng Tian, Sheng Zhang, Gia-Wei Chern

We present a scalable machine learning (ML) framework for predicting intensive properties and particularly classifying phases of many-body systems. Scalability and transferability…