Phase field models are an important mesoscale method that serves as a bridge between the atomic scale and the macroscale, used for modeling complex phenomena at the microstructure level. Machine ...

For many years, the phase field (PF) method is widely utilized for simulating microstructure evolution processes 1,2, with applications to various fields like solidification 3, solid-state ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether a ...