Fig. 8: Machine learning predictions of Eform and ms for \({({{\rm{Cr}}}_{0.25}{{\rm{Pd}}}_{0.75})}_{0.45}{({{\rm{Fe}}}_{{\rm{x}}}{{\rm{Co}}}_{{\rm{y}}}{{\rm{Ni}}}_{{\rm{z}}})}_{0.55}\) systems. | npj Computational Materials

Fig. 8: Machine learning predictions of Eform and ms for \({({{\rm{Cr}}}_{0.25}{{\rm{Pd}}}_{0.75})}_{0.45}{({{\rm{Fe}}}_{{\rm{x}}}{{\rm{Co}}}_{{\rm{y}}}{{\rm{Ni}}}_{{\rm{z}}})}_{0.55}\) systems.

From: EFTGAN: Elemental features and transferring corrected data augmentation for the study of high-entropy alloys

Fig. 8

a shows the Eform of the FCC SPSS system, b shows the Eform of the BCC SPSS system and c shows the Eform difference between the FCC phase and the BCC phase for the same composition; d shows the ms of the FCC system, e shows the ms of the BCC system and f shows the magnetic moments of relatively stable phases in FCC and BCC systems for the same composition; g shows the free energies of FCC system in 400 K and 800 K, h shows the free energies of BCC system in 400 K and 800 K. The color band to the right of each figures shows the values represented by the colors displayed in each figures.

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