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Critical current and n-value prediction of second-generation high temperature superconducting conductors considering the temperature-field dependence based on the back propagation neural network with encoder

Crossref DOI link: https://doi.org/10.1088/1361-6668/ac88fc

Published Online: 2022-08-23

Published Print: 2022-10-01

Update policy: https://doi.org/10.1088/crossmark-policy

Authors

Zhu, Lingfeng https://orcid.org/0000-0001-9288-1228
Wang, Yinshun https://orcid.org/0000-0003-4811-6849
Meng, Ziqing

Wang, Tianjing
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51977078)
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Text and Data Mining valid from 2022-08-23
More Information

Article Title: Critical current and n-value prediction of second-generation high temperature superconducting conductors considering the temperature-field dependence based on the back propagation neural network with encoder

Journal Title: Superconductor Science and Technology

Article Type: paper

Copyright Information: © 2022 The Author(s). Published by IOP Publishing Ltd

Publication dates

Date Received: 2022-05-19

Date Accepted: 2022-08-11

Online publication date: 2022-08-23

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