9–13 Jul 2017
Monona Terrace Community and Convention Center
US/Central timezone

Prediction of critical current by artificial neural network of nano structured superconducting film

11 Jul 2017, 13:00
2h
Exhibit Hall AB

Exhibit Hall AB

Speaker

Dr Kamran Muhammad (COMSATS Institute of IT)

Description

In this work we tune the critical current for an Nb film with a rectangular array of antidots using a commercially available physical properties measurement system by varying several parameters, including temperature, magnetic flux, and current. Our measurements show variation in resistance through dips in the curves, which resemble Shapiro steps [1]. Since repeatedly performing such measurements may take an enormous amount of time and resources, we restrict our analysis to a small range of the parameters, and extrapolate the current-voltage curves to a wide range of those by means of artificial neural networks. Besides approximating the curves to perfection, we demonstrate that our approach may be adopted for other type of regular and diluted arrays of antidots.

Authors

Dr Kamran Muhammad (COMSATS Institute of IT) Dr Rameez Naqvi Syed (Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah cantt. Pakistan) Dr Sajjad ali haider (Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah cantt. Pakistan) Dr Tallha Akram (Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah cantt. Pakistan)

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