Peculiar effect of sample size in layered superconductors

TL;DR

This paper introduces an analytical model for calculating the superconducting volume ratio and predicting the shape of embedded superconducting domains, explaining anisotropic resistivity drops in layered superconductors.

Contribution

The paper presents a novel analytical model that predicts superconducting domain shapes and volume ratios, enhancing understanding of anisotropic resistivity in layered superconductors.

Findings

Model accurately predicts superconducting volume ratios.

Explains anisotropic resistivity drops due to domain shapes.

Applied to multiple layered superconductors.

Abstract

We discuss an analytical model to calculate the superconducting volume ratio. Apart from this, our model can also predict the shape of embedded superconducting domains. We applied our model to calculate the superconducting volume ratios and shape of domains in (TMTSF)$_2$PF$_6$, (TMTSF)$_2$ClO$_4$, YBa$_2$Cu$_4$O$_8$, $\beta$-(BEDT)TTF$_2$I$_3$ and FeSe. Usually in layered superconductors resistivity drops anisotropically. Our analysis also explains that, this behaviour is due to flat or needle shape of the superconducting samples.