Fig. 5: The simulation-guided material development paradigm from theoretical predictions to targeted experiments. | npj Computational Materials

Fig. 5: The simulation-guided material development paradigm from theoretical predictions to targeted experiments.

From: Designing polymer nanocomposites with high energy density using machine learning

Fig. 5

a The input data set of scoring of different polymer nanocomposites. b Comparisons of scoring between the phase-field simulations and machine learning results, and five 2D perovskite nanofillers are evaluated as marked by color solid symbols. c The discharged energy density of P(VDF-HFP))/Ca2Nb3O10(CNO) nanocomposites with different volume fractions at different applied electric fields.

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