Yizhao Huang
Research title: Digital twin for superconducting fault current limiter
Publications
2026
Huang, Yizhao, Yazdani-Asrami, Mohammad 
ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038
(2026)
A fast and adaptive LSTM-based surrogate model for predicting limitation performance of SFCLs in electric aircraft systems.
IEEE Transactions on Applied Superconductivity,
(doi: 10.1109/TASC.2026.3673790)
(Early Online Publication)
2025
Huang, Yizhao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038
(2025)
A deep learning-based ultra-fast surrogate model for AC loss estimation in superconductors using COMSOL.
IEEE Access,
(doi: 10.1109/ACCESS.2025.3603953)
(Early Online Publication)
Articles
Huang, Yizhao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038
(2026)
A fast and adaptive LSTM-based surrogate model for predicting limitation performance of SFCLs in electric aircraft systems.
IEEE Transactions on Applied Superconductivity,
(doi: 10.1109/TASC.2026.3673790)
(Early Online Publication)
Huang, Yizhao, Yazdani-Asrami, Mohammad ORCID: https://orcid.org/0000-0002-7691-3485 and Song, Wenjuan ORCID: https://orcid.org/0000-0001-8003-7038
(2025)
A deep learning-based ultra-fast surrogate model for AC loss estimation in superconductors using COMSOL.
IEEE Access,
(doi: 10.1109/ACCESS.2025.3603953)
(Early Online Publication)