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Open Access

Peer-reviewed

Research Article

A physics-inspired memory-augmented deep learning framework for magnetic core loss prediction

Haifang Cong,

Roles Data curation, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Changchun University of Science and Technology, Changchun, China
⨯
Siyu Chen,

Roles Methodology, Project administration, Resources, Supervision

Affiliation Changchun University of Science and Technology, Changchun, China
⨯
Yang Yang,

Roles Funding acquisition, Methodology, Software

Affiliations Changchun University of Science and Technology, Changchun, China, Changchun Sci-Tech University, Changchun, China
⨯
Tianyun Luan ,

Roles Supervision, Validation, Visualization, Writing – review & editing

* E-mail: 13324490656@163.com

Affiliation Changchun University of Science and Technology, Changchun, China

https://orcid.org/0009-0005-2308-6972

⨯
Chao Yang

Roles Conceptualization, Data curation, Investigation, Validation

Affiliation Beijing Aerospace Times Laser Navigation Technology Co., Ltd, Beijing, China
⨯

A physics-inspired memory-augmented deep learning framework for magnetic core loss prediction

Haifang Cong,
Siyu Chen,
Yang Yang,
Tianyun Luan,
Chao Yang

x

Published: January 13, 2026
https://doi.org/10.1371/journal.pone.0339490

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