SuperScreen: An open-source package for simulating the magnetic response of two-dimensional superconducting devices

TL;DR

SuperScreen is an open-source Python tool that efficiently simulates magnetic responses and screening currents in 2D superconducting devices with arbitrary geometries, aiding interpretation of magnetic measurements.

Contribution

It introduces SuperScreen, a novel open-source package that solves the 2D London equation for complex superconducting geometries, enabling detailed magnetic response simulations.

Findings

Accurately models Meissner currents and magnetic fields in 2D superconductors.

Calculates self- and mutual-inductance in thin film superconducting devices.

Supports arbitrary geometries and various magnetic field conditions.

Abstract

Quantitative understanding of the spatial distribution of magnetic fields and Meissner screening currents in two-dimensional (2D) superconductors and mesoscopic thin film superconducting devices is critical to interpreting the results of magnetic measurements of such systems. Here, we introduce SuperScreen, an open-source Python package for simulating the response of 2D superconductors to trapped flux and applied time-independent or quasi-DC magnetic fields for any value of the effective magnetic penetration depth, $\Lambda$. Given an applied magnetic field, SuperScreen solves the 2D London equation using an efficient matrix inversion method to obtain the Meissner currents and magnetic fields in and around structures composed of one or more superconducting thin films of arbitrary geometry. SuperScreen can be used to model screening effects and calculate self- and mutual-inductance in thin film superconducting devices.