Szczegóły publikacji
Opis bibliograficzny
Roadmap on artificial intelligence and big data techniques for superconductivity / Mohammad Yazdani-Asrami, Wenjuan Song, Antonio Morandi, Giovanni De Carne, Joao Murta-Pina, Anabela Pronto, Roberto Oliveira, Francesco Grilli, Enric Pardo, Michael Parizh, Boyang Shen, Tim Coombs, Tiina Salmi, Di Wu, Eric Coatanea, Dominic A. Moseley, Rodney A. Badcock, Mengjie Zhang, Vittorio Marinozzi, Nhan Tran, Maciej WIELGOSZ, Andrzej SKOCZEŃ, Dimitrios Tzelepis, Sakis Meliopoulos, Nuno Vilhena, Guilherme Sotelo, Zhenan Jiang, Veit Große, Tommaso Bagni, Diego Mauro, Carmine Senatore, Alexey Mankevich, Vadim Amelichev, Sergey Samoilenkov, Tiem Leong Yoon, Yao Wang, Renato P. Camata, Cheng-Chien Chen, Ana Maria Madureira, Ajith Abraham // Superconductor Science and Technology ; ISSN 0953-2048. — 2023 — vol. 36 no. 4 art. no. 043501, s. 1–57. — Bibliogr. s. 53–57, Abstr. — Publikacja dostępna online od: 2023-02-24
Autorzy (40)
- AGHSkoczeń Andrzej
- AGHWielgosz Maciej
- Abraham Ajith
- Amelichev Vadim
- Badcock Rodney A.
- Bagni Tommaso
- Camata Renato P.
- Chen Cheng-Chien
- Coatanea Eric
- Coombs Tim
- de Carne Giovanni
- Grilli Francesco
- Große Veit
- Jiang Zhenan
- Madureira Ana Maria
- Mankevich Alexey
- Marinozzi Vittorio
- Mauro Diego
- Meliopoulos Sakis
- Morandi Antonio
- Moseley Dominic A.
- Murta-Pina Joao
- Oliveira Roberto
- Pardo Enric
- Parizh Michael
- Pronto Anabela
- Salmi Tiina
- Samoilenkov Sergey
- Senatore Carmine
- Shen Boyang
- Song Wenjuan
- Sotelo Guilherme
- Tran Nhan
- Tzelepis Dimitrios
- Vilhena Nuno
- Wang Yao
- Wu Di
- Yazdani-Asrami Mohammad
- Yoon Tiem Leong
- Zhang Mengjie
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146878 |
|---|---|
| Data dodania do BaDAP | 2023-05-29 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1361-6668/acbb34 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Superconductor Science & Technology |
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.
