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Currently, research on iron-based superconductors is so interesting because they show uniformity of magnetic and superconducting phases and have variety layered crystal structures with wide applications. The main objective of this article is to focus on the computational study of the interplay of antiferromagnetism and superconductivity using a two-band model of Hamiltonian from electronic structure and double-time temperature-dependent Green’s function formalism for Sr1−xNaxFe2As2 superconductor. From the model Hamiltonian and Green’s function formalism, we found mathematical expressions for the superconducting (Sc) order parameter, the antiferromagnetic (AFM) order parameter, the AFM and Sc transition temperatures. Using these mathematical statements, we plotted the phase illustrations of order parameters versus temperature, transition temperatures versus AFM order parameter using Matplotlib in Python. From these graphs, we have illustrated the interplay of antiferromagnetism and superconductivity, pure superconducting phase, pure antiferromagnetism phase and paramagnetic phase for the Sr1−xNaxFe2As2 superconductor.

Currently, research on iron-based superconductors is so interesting because they show uniformity of magnetic and superconducting phases and have variety layered crystal structures with wide applications. The main objective of this article is to focus on the computational study of the interplay of antiferromagnetism and superconductivity using a two-band model of Hamiltonian from electronic structure and double-time temperature-dependent Green's function formalism for Sr 1 − x Na x Fe 2 As 2 superconductor. From the model Hamiltonian and Green's function formalism, we found mathematical expressions for the superconducting (Sc) order parameter, the antiferromagnetic (AFM) order parameter, the AFM and Sc transition temperatures. Using these mathematical statements, we plotted the phase illustrations of order parameters versus temperature, transition temperatures versus AFM order parameter using Matplotlib in Python. From these graphs, we have illustrated the interplay of antiferromagnetism and superconductivity, pure superconducting phase, pure antiferromagnetism phase and paramagnetic phase for the Sr 1 − x Na x Fe 2 As 2 superconductor. [Display omitted] • As temperature increases, both superconducting and AFM order parameters decrease. • The AFM order parameter increases as Tc decreases and Tm increases. • There is a region where superconductivity and antiferromagnetism interplay. • As the doping level increases, AFM suppresses and Sc increases up to 0.5. [ABSTRACT FROM AUTHOR]