Fig. 5: Performance of DTNet models on dielectric data from Materials Project. | npj Computational Materials

Fig. 5: Performance of DTNet models on dielectric data from Materials Project.

From: Dielectric tensor prediction for inorganic materials using latent information from preferred potential

Fig. 5

a, b Plot of the mean error/correlation (points) with standard deviation (shadow) for 5 runs against the intermediate embedding generated from the PFP-Ln as DTNet inputs, showing both transfer learning results and training from scratch results for comparison. c–e Multiple MAE metrics in the dielectric tensor for different crystal systems on the prediction of the electronic, ionic and total task.

Back to article page