Decoding 122-Type Iron-Based Superconductors: A Comprehensive Simulation of Phase Diagrams and Transition Temperatures
Chi Ho Wong, Rolf Lortz

TL;DR
This paper presents a comprehensive simulation model for 122-type iron-based superconductors, integrating multiple theoretical approaches and experimental data to accurately predict phase diagrams and transition temperatures under various conditions.
Contribution
It introduces an innovative combined modeling approach that incorporates experimental ARPES data and predicts superconducting behavior across different compounds and pressures.
Findings
Calculated Tc values closely match experimental data.
MgFe2As2 remains non-superconducting under pressure.
Model effectively predicts phase diagrams at high pressure.
Abstract
Iron-based superconductors, a cornerstone of low-temperature physics, have been the subject of numerous theoretical models aimed at deciphering their complex behavior. In this study, we present a comprehensive approach that amalgamates several existing models and incorporates experimental data to simulate the superconducting phase diagrams of the principal 122-type iron-based compounds. Our model considers a multitude of factors including the momentum dependence of the superconducting gap, spin-orbital coupling, antiferromagnetism, spin density wave, induced XY potential on the tetrahedral structure, and electron-phonon coupling. We have refined the electron-phonon scattering matrix using experimental angle-resolved photoemission spectroscopy (ARPES) data, ensuring that all electrons pertinent to iron-based superconductivity are accounted for. This innovative approach allows us to…
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Taxonomy
TopicsIron-based superconductors research · Intellectual Capital and Performance Analysis
