Unsupervised Phase Discovery with Deep Anomaly Detection
Unsupervised Phase Discovery with Deep Anomaly Detection
We demonstrate how to explore phase diagrams with automated and unsupervised machine learning to find regions of interest for possible new phases. In contrast to supervised learning, where data is classified using predetermined labels, we here perform anomaly detection, where the task is to differentiate a normal dataset, composed of …