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

Esteban Bedoya Rodriguez; Leon Escobar Diaz; Sebastian Trujillo Hernandez

paper

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

arXiv:2503.10646

Abstract

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.