Prediction of Critical Currents for a Diluted Square Lattice Using Artificial Neural Networks

Sajjad Haider,Tallha Akram,Muhammad Kamran,Syed Naqvi

doi:10.3390/app7030238

Sajjad Haider, Tallha Akram + Show 2 more

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https://doi.org/10.3390/app7030238

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Journal: Applied sciences	Publication Date: Mar 2, 2017
Citations: 9	License type: CC BY 4.0

Affiliation: COMSATS University Islamabad

Abstract

Studying critical currents, critical temperatures, and critical fields carries substantial importance in the field of superconductivity. In this work, we study critical currents in the current–voltage characteristics of a diluted-square lattice on an Nb film. Our measurements are based on a commercially available Physical Properties Measurement System, which may prove time consuming and costly for repeated measurements for a wide range of parameters. We therefore propose a technique based on artificial neural networks to facilitate extrapolation of these curves for unforeseen values of temperature and magnetic fields. We demonstrate that our proposed algorithm predicts the curves with an immaculate precision and minimal overhead, which may as well be adopted for prediction in other types of regular and diluted lattices. In addition, we present a detailed comparison between three artificial neural networks architectures with respect to their prediction efficiency, computation time, and number of iterations to converge to an optimal solution.

Highlights

Mixed state in superconductors is the sign of existence of vortices, which is the most interesting research area in low temperature physics
We have proposed a method based on Artificial neural networks (ANNs) for measuring the its current–voltage (IV) curves in a diluted square array of antidots on an Nb film at different applied fields and temperatures
Because of their exceptional approximation capability, ANNs have recently been recommended for the prediction of IV curves in superconducting films

Summary

Introduction

Mixed state in superconductors is the sign of existence of vortices, which is the most interesting research area in low temperature physics. The vortices can be in the form of liquid, glassy, or crystalline phases. These vortex phases can be studied in high temperature superconductor systems and type II superconducting thin films with an array of dots/antidots. Over the last few decades, various properties of superconducting thin films with an array of artificial pinning centers have been explored [1,2,3,4,5]. Previous works [10] showed that using a diluted array of antidots increases pinning effect along with energy conservation. An experimental setup based on a diluted square array of antidots is used to measure its current–voltage (IV) behavior

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