Fig. 4: Schematic workflow of high-throughput phase-field simulations and machine learning strategy. | npj Computational Materials

Fig. 4: Schematic workflow of high-throughput phase-field simulations and machine learning strategy.

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

Fig. 4: Schematic workflow of high-throughput phase-field simulations and machine learning strategy.

a High-throughput phase-field simulations. b Input data set of nanofiller features with the variables of morphology, permittivity, electrical conductivity, and volume fraction. c Output data set of effective properties of nanocomposites including the effective permittivity, breakdown strength, and effective electrical conductivity. d The microstructure-property data set of scoring.

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