When developing deep learning models for accurate property prediction, it is sometimes overlooked that some material physical properties are insensitive to the local atomic environment. Here, we ...

Learning the global crystal symmetry and interpreting the equivariant information is crucial for accurately predicting material properties, yet remains to be fully accomplished by existing algorithms ...