Roadmap on artificial intelligence and big data techniques for superconductivity

被引：40

作者：

Yazdani-Asrami, Mohammad ^{[1
]}

Song, Wenjuan ^{[1
]}

Morandi, Antonio ^{[2
]}

De Carne, Giovanni ^{[3
]}

Murta-Pina, Joao ^{[4
]}

Pronto, Anabela ^{[4
]}

Oliveira, Roberto ^{[3
]}

Grilli, Francesco ^{[3
]}

Pardo, Enric ^{[5
]}

Parizh, Michael ^{[6
]}

Shen, Boyang ^{[7
]}

Coombs, Tim ^{[7
]}

Salmi, Tiina ^{[8
]}

Wu, Di ^{[8
]}

Coatanea, Eric ^{[8
]}

Moseley, Dominic A. ^{[9
]}

Badcock, Rodney A. ^{[9
]}

Zhang, Mengjie ^{[10
]}

Marinozzi, Vittorio ^{[11
]}

Tran, Nhan ^{[11
]}

Wielgosz, Maciej ^{[12
]}

Skoczen, Andrzej ^{[12
]}

Tzelepis, Dimitrios ^{[13
]}

Meliopoulos, Sakis ^{[14
]}

Vilhena, Nuno ^{[4
]}

Sotelo, Guilherme ^{[15
]}

Jiang, Zhenan ^{[10
]}

Grosse, Veit ^{[16
]}

Bagni, Tommaso ^{[17
]}

Mauro, Diego ^{[17
]}

Senatore, Carmine ^{[17
]}

Mankevich, Alexey ^{[18
]}

Amelichev, Vadim ^{[18
]}

Samoilenkov, Sergey ^{[19
]}

Yoon, Tiem Leong ^{[20
]}

Wang, Yao ^{[21
]}

Camata, Renato P. ^{[22
]}

Chen, Cheng-Chien ^{[22
]}

Madureira, Ana Maria ^{[23
,24
]}

Abraham, Ajith ^{[25
,26
]}

机构：

[1] Univ Glasgow, James Watt Sch Engn, Prop Electrificat & Superconduct Grp, Glasgow G12 8QQ, Scotland

[2] Univ Bologna, Dept Elect Elect & Informat Engn, I-40136 Bologna, Italy

[3] Karlsruhe Inst Technol, Karlsruhe, Germany

[4] Ctr Technol & Syst UNINOVA CTS UNINOVA, P-2829516 Caparica, Portugal

[5] Slovak Acad Sci, Inst Elect Engn, Bratislava, Slovakia

[6] Gen Elect Res, One Res Circle, Niskayuna, NY 12309 USA

[7] Univ Cambridge, Dept Engn, Cambridge CB3 0FA, England

[8] Tampere Univ, Tampere, Finland

[9] Victoria Univ Wellington, Paihau Robinson Res Inst, Lower Hutt 5046, New Zealand

[10] Victoria Univ Wellington, Sch Engn & Comp Sci, Wellington 6140, New Zealand

[11] Fermi Natl Accelerator Lab Fermilab, Tech Div, Batavia, IL 60510 USA

[12] AGH Univ Sci & Technol, Krakow, Poland

[13] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow, Scotland

[14] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

[15] Fluminense Fed Univ UFF, Dept Elect Engn, Niteroi, RJ, Brazil

[16] THEVA Dunnschichttech GmbH, Ismaning, Germany

[17] Univ Geneva, Dept Quantum Matter Phys, Geneva, Switzerland

[18] S Innovations, Moscow, Russia

[19] SuperOx, Moscow, Russia

[20] Univ Sains Malaysia, Sch Phys, Usm 11800, Penang, Malaysia

[21] Clemson Univ, Dept Phys & Astron, Clemson, SC 29631 USA

[22] Univ Alabama Birmingham, Dept Phys, Birmingham, AL 35294 USA

[23] Polytech Porto, ISRC, ISEP, Rua Dr Antonio Bernardino Almeida, Porto, Portugal

[24] INOV Inst Syst & Comp Engn, Technol & Sci, Lisbon, Portugal

[25] Machine Intelligence Res Labs MIR Labs, Auburn, WA 98071 USA

[26] FLAME Univ, Fac Comp & Data Sci, Pune, Maharashtra, India

来源：

SUPERCONDUCTOR SCIENCE & TECHNOLOGY | 2023年 / 36卷 / 04期

关键词：

applied superconductivity; artificial intelligence; big data; deep learning; machine learning; neural network; NEURAL-NETWORKS; FAULT LOCATION; PROTECTION; DESIGN; SYSTEM; FIELD; CHALLENGES; PERFORMANCE; SIMULATION; MODEL;

D O I：

10.1088/1361-6668/acbb34

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

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.

引用

页数：57

共 174 条

[1] A new benchmark problem for electromagnetic modelling of superconductors: the high-Tcsuperconducting dynamo [J].