Accurate Prediction of Dielectric Tensors for Inorganic Materials Using Latent Information from a Pretrained Neural Network Potential

A graph neural network model leverages latent structural and compositional information from a pretrained universal neural network potential to accurately predict electronic, ionic, and total dielectric tensors for inorganic materials.