Sr1−xKxFe2As2超导性能的理论研究:两波段格林函数方法

IF 2.8
Gedefaw Mebratie, Tamiru Negussie, Geberegziabher Kahsay
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引用次数: 0

摘要

本文的主要目的是利用两波段哈密顿模型和格林函数(GF)形式来研究Sr1−xKxFe2As2超导体的超导性。推导了超导(SC)序参量、SC转变温度、态密度(DOS)和凝聚能等关键性质的数学表达式。利用这些表达式,利用Python中的Matplotlib生成了SC序参量随温度变化的相图,SC转变温度随SC耦合参数变化的相图,DOS随激发能变化的相图,以及冷凝能随SC转变温度、温度和带间配对势变化的相图。这些相图揭示了关键的发现。首先,随着温度的升高,凝析序参数和凝析能均呈下降趋势,并在凝析临界温度时完全消失。其次,DOS最初随着激发能的增加而增加,直到达到零温度SC阶参数(Δ(0)),对应于零温度时的能隙。超过这个点,DOS开始减少。最后,相图表明,SC转变温度随着每个带间配对电位的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Theoretical Investigation of Superconductivity Properties of Sr1−xKxFe2As2: A Two-Band Green's Function Approach

Theoretical Investigation of Superconductivity Properties of Sr1−xKxFe2As2: A Two-Band Green's Function Approach

The main objective of this research article is to investigate the superconductivity properties of Sr1 − xKxFe2As2 superconductor by employing a two-band Hamiltonian model and using Green's function (GF) formalism. Mathematical expressions are derived for key properties such as the superconducting (SC) order parameters, the SC transition temperature, the density of states (DOS), and condensation energy. Utilizing these expressions, Matplotlib in Python is employed to generate phase diagrams illustrating the SC order parameters versus temperature, the SC transition temperature versus SC coupling paramete, the DOS versus excitation energy, and the condensation energy versus the SC transition temperature, temperature, and inter-band pairing potential. These phase diagrams reveal key findings. First, both the SC order parameters and the condensation energy exhibit a decreasing trend as the temperature increases and vanish completely at the SC critical temperature. Second, the DOS initially increases with increasing excitation energy, until it reaches zero temperature SC order parameter (Δ(0)), which corresponds to the energy gap at zero temperature. Beyond this point, the DOS starts to decrease. Finally, the phase diagrams illustrate that the SC transition temperature increases as each intra-inter-band pairing potential increases.

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