DOE OSTI · 1961796
Roadmap on artificial intelligence and big data techniques for superconductivity
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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Yazdani-Asrami, Mohammad, Song, Wenjuan, Morandi, Antonio, De Carne, Giovanni, Murta-Pina, Joao, Pronto, Anabela, Oliveira, Roberto, Grilli, Francesco, Pardo, Enric, Parizh, Michael, Shen, Boyang, Coombs, Tim, Salmi, Tiina, Wu, Di, Coatanea, Eric, Moseley, Dominic A., Badcock, Rodney A., Zhang, Mengjie, Marinozzi, Vittorio, Tran, Nhan, Wielgosz, Maciej, Skoczeń, Andrzej, Tzelepis, Dimitrios, Meliopoulos, Sakis, Vilhena, Nuno, Sotelo, Guilherme, Jiang, Zhenan, Große, Veit, Bagni, Tommaso, Mauro, Diego, Senatore, Carmine, Mankevich, Alexey, Amelichev, Vadim, Samoilenkov, Sergey, Yoon, Tiem Leong, Wang, Yao, Camata, Renato P., Chen, Cheng-Chien, Madureira, Ana Maria, Abraham, Ajith. 2023-02-24. Roadmap on artificial intelligence and big data techniques for superconductivity. https://doi.org/10.1088/1361-6668%2Facbb34
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