Roadmap on Artificial intelligence and big data techniques for superconductivity
Yazdani-Asrami, Mohammad ; Song, Wenjuan; Morandi, Antonio; Carne, Giovanni
1; Pina, J. M.; Pronto, Anabela; Oliveira, Roberto
2; Pardo, Enric; Grilli, Francesco 1; Parizh, Michael; Shen, Boyang; Coombs, Tim; Salmi, Tiina; Wu, Di; Coatanea, Eric; Moseley, Dominic; Badcock, Rodney; Zhang, Mengjie; Marinozzi, Vittorio;
1; Pina, J. M.; Pronto, Anabela; Oliveira, Roberto
2; Pardo, Enric; Grilli, Francesco 1; Parizh, Michael; Shen, Boyang; Coombs, Tim; Salmi, Tiina; Wu, Di; Coatanea, Eric; Moseley, Dominic; Badcock, Rodney; Zhang, Mengjie; Marinozzi, Vittorio; Abstract (englisch):
This paper presents a roadmap to the application of AI techniques and big data 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 big data 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 years time-frame.
| Zugehörige Institution(en) am KIT | Institut für Technische Physik (ITEP) |
| Publikationstyp | Zeitschriftenaufsatz |
| Publikationsmonat/-jahr | 02.2023 |
| Sprache | Englisch |
| Identifikator | ISSN: 0953-2048, 1361-6668 KITopen-ID: 1000156158 |
| HGF-Programm | 38.05.03 (POF IV, LK 01) High Temperature Superconductivity |
| Weitere HGF-Programme | 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms |
| Erschienen in | Superconductor Science and Technology |
| Verlag | Institute of Physics Publishing Ltd (IOP Publishing Ltd) |
| Band | 36 |
| Heft | 4 |
| Seiten | Art.-Nr.: 043501 |
| Projektinformation | HGF, HGF IVF2016 TALENT, VH-NG-1613 |
| Vorab online veröffentlicht am | 10.02.2023 |
| Nachgewiesen in | Web of Science Dimensions Scopus |