MAGUS: Crystal structure predictions assisted by machine learning and graph theory

Crystal structures have a decisive impact on the properties of materials, and research on crystal structures often serves as a starting point for material studies. Crystal structure prediction is a method that seeks stable or metastable structures solely based on the chemical composition under specific conditions. It has become an effective tool for discovering new materials and exploring phase space.


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Source: Phys.org