Phase Diagrams Construction Using Mean-Field Renormalization and Neural Network Fitting

Employing the mean-field renormalization group (MFRG) method, we analyzed the $F{e}_{p}M{n}_{0.6-p}A{l}_{0.4}$ and $F{e}_{p}A{l}_{1-p}$ alloys, incorporating second-neighbor interactions in the latter for the first time within this framework. Our analysis utilized neural network fitting, yielding promising results in both the phase diagram adjustments and the estimation of bond energies.