Roadmap on artificial intelligence and big data techniques for superconductivity
ContributorsYazdani-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
Published inSuperconductor science and technology, vol. 36, no. 4, 043501
Publication date2023-02-24
First online date2023-02-24
Abstract
Research groups
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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Article (Published version)
Identifiers
- PID : unige:167460
- DOI : 10.1088/1361-6668/acbb34
Additional URL for this publicationhttps://iopscience.iop.org/article/10.1088/1361-6668/acbb34
Journal ISSN0953-2048