Scientific article
OA Policy
English

Roadmap on artificial intelligence and big data techniques for superconductivity

Published inSuperconductor science and technology, vol. 36, no. 4, 043501
Publication date2023-02-24
First online date2023-02-24
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.

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Citation (ISO format)
YAZDANI-ASRAMI, Mohammad et al. Roadmap on artificial intelligence and big data techniques for superconductivity. In: Superconductor science and technology, 2023, vol. 36, n° 4, p. 043501. doi: 10.1088/1361-6668/acbb34
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Journal ISSN0953-2048
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Creation01/03/2023 17:28:00
First validation01/03/2023 17:28:00
Update time16/03/2023 10:56:12
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