Predicting phase behavior of grain boundaries with evolutionary search and machine learning

Qiang Zhu, Amit Samanta, Bingxi Li +2

The study of grain boundary phase transitions is an emerging field until recently dominated by experiments. The major bottleneck in exploration of this phenomenon with atomistic mo…