Atomate2 also supports other fundamental calculations including dielectric and polarization jobs. It should be noted that a pre-relaxed structure is required as input for both calculations. This is to avoid imaginary modes. These calculations are currently available for VASP and the workflow is summarized in Fig. . The corresponding workflows in atomate have been widely employed, including the generation of of over 7,000 dielectric tensors in the Materials Project database. This dataset is one of the core components of the Mat-Bench 57 benchmarking suite for comparing ML models on materials science tasks and has been used to develop equivariant graph neural networks such as AnisoNet 58 for predicting the full dielectric tensors of crystalline systems.