Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent superconductivity

Yazdani-Asrami, M. (2023) Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent superconductivity. Superconductor Science and Technology, 36(8), 084001. (doi: 10.1088/1361-6668/ace385)

Abstract

The last 100 years of experience within the superconducting community have proven that addressing the challenges faced by this technology often requires incorporation of other disruptive techniques or technologies into superconductivity. Artificial intelligence (AI) methods including machine learning, deep learning, and big data techniques have emerged as highly effective tools in resolving challenges across various industries in recent decades. The concept of AI entails the development of computers that resemble human intelligence. The papers published in the focus issue, "Focus on Artificial Intelligence and Big Data for Superconductivity", represent the cutting-edge and forefront research activities in the field of AI for superconductivity.

• Item Type: Articles (Editorial)
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yazdani-Asrami, Dr Mohammad
• Authors: Yazdani-Asrami, M.
• 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: 11 July 2023
• Copyright Holders: Copyright © 2023 The Author
• First Published: First published in Superconductor Science and Technology 36(8): 084001
• Publisher Policy: Reproduced under a Creative Commons License