
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.


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accurate-prediction-of-dielectric-tensors-for-inorganic-materials-using-latent-information-from-a-pretrained-neural-network-potential


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