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Roadmap on artificial intelligence and big data techniques for superconductivity

Yazdani-Asrami, M. et al. (2023) Roadmap on artificial intelligence and big data techniques for superconductivity. Superconductor Science and Technology, 36(4), 043501. (doi: 10.1088/1361-6668/acbb34)

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Abstract

This paper presents a roadmap to the application of AI techniques and big data (BD) for different modelling, design, monitoring, manufacturing and operation purposes of different superconducting applications. To help superconductivity researchers, engineers, and manufacturers understand the viability of using AI and BD techniques as future solutions for challenges in superconductivity, a series of short articles are presented to outline some of the potential applications and solutions. These potential futuristic routes and their materials/technologies are considered for a 10–20 yr time-frame.

Item Type:Articles
Keywords:Roadmap, applied superconductivity, artificial intelligence, big data, deep learning, machine learning, neural network.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yazdani-Asrami, Dr Mohammad and Song, Dr Wenjuan
Authors: Yazdani-Asrami, M., Song, W., Morandi, A., De Carne, G., Murta-Pina, J., Pronto, A., Oliveira, R., Grilli, F., Pardo, E., Parizh, M., Shen, B., Coombs, T., Salmi, T., Wu, D., Coatanea, E., Moseley, D. A., Badcock, R. A., Zhang, M., Marinozzi, V., Tran, N., Wielgosz, M., Skoczeń, A., Tzelepis, D., Meliopoulos, S., Vilhena, N., Sotelo, G., Jiang, Z., Große, V., Bagni, T., Mauro, D., Senatore, C., Mankevich, A., Amelichev, V., Samoilenkov, S., Yoon, T. L., Wang, Y., Camata, R. P., Chen, C.-C., Madureira, A. M., and Abraham, A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:Superconductor Science and Technology
Publisher:IOP Publishing
ISSN:0953-2048
ISSN (Online):1361-6668
Published Online:24 February 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Superconductor Science and Technology 36(4): 043501
Publisher Policy:Reproduced under a Creative Commons License
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