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Page 34 of 45 Mooraj et al. J Mater Inf 2023;3:4 https://dx.doi.org/10.20517/jmi.2022.41

Figure 17. (A) Effect of Ho addition to FeCoNi(CuAl) on magnetic hysteresis response of this alloy measured at room temperature.
0.8 [200]
This figure is quoted with permission from Tang et al. , copyright 2021, Elsevier; (B) saturation magnetization of FeCoNi(CuAl)
[201] x
alloys as CuAl is added. This figure is quoted with permission from Zhang et al. , copyright 2017, Elsevier; (C) magnetization curves
[202]
of NiAlFeCo Cr . This figure is quoted with permission from Borkar et al. , copyright 2017, John Wiley and Sons; (D) magnetization
x 1-x [203]
curves of FeCoNi(MnAl) . This figure is quoted with permission from Li et al. , copyright 2017, Elsevier.
x
Li et al. adjusted the composition of a FeCoNi(MnAl) to study the effect of composition on the magnetic
[203] x
properties of this material . The results presented in Figure 17D show that the saturation magnetization
decreases as the Cu and Al content increases to x = 0.5 and then increases as the Cu, and Al content
increases further. The FeCoNi alloy shows a fully FCC structure, while the FeCoNi(MnAl) and
0.5
FeCoNi(MnAl) show an FCC + BCC dual-phase structure, and the FeCoNi(MnAl) composition shows a
0.75
nearly fully BCC structure. Also, the lattice parameter of the FCC phase increases as Mn and Al are added,
and the lattice parameter of the BCC phase decreases. The authors explain that the magnetization of the
BCC phase decreases with decreasing lattice parameters and the magnetization of the FCC phase decreases
[203]
with increasing lattice parameters . Thus, the FeCoNi(MnAl) composition shows the lowest magnetic
0.5
performance because both phases show their lowest performance at that composition.

Corrosion resistance
Corrosion resistance is a crucial property when selecting materials for real-life applications. The
degradation of materials due to corrosion leads to over $500 billion in repair and maintenance costs in the
[204]
US alone . The corrosion process is highly complicated and includes various mechanisms that depend on
the type and concentration of the corrosive electrolyte, the composition and microstructure of the chosen
[185]
material, the ambient temperature, and the time spent in service . Due to the complexity of corrosion
phenomena, there is currently no unifying computational model to predict corrosion resistance, and there
are limited empirical models for certain systems. This challenge forces researchers to rely on experimental
results to screen materials for corrosion resistance. Thus, high-throughput corrosion resistance methods are
extremely important to characterize and screen HEAs for future applications. Typical high-throughput
screening methods utilize multi-electrode arrays placed in a common electrolyte to allow multiple materials