A physics-inspired memory-augmented deep learning framework for magnetic core loss prediction.
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| Title: | A physics-inspired memory-augmented deep learning framework for magnetic core loss prediction. |
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| Authors: | Cong H; Changchun University of Science and Technology, Changchun, China., Chen S; Changchun University of Science and Technology, Changchun, China., Yang Y; Changchun University of Science and Technology, Changchun, China.; Changchun Sci-Tech University, Changchun, China., Luan T; Changchun University of Science and Technology, Changchun, China., Yang C; Beijing Aerospace Times Laser Navigation Technology Co., Ltd, Beijing, China. |
| Source: | PloS one [PLoS One] 2026 Jan 13; Vol. 21 (1), pp. e0339490. Date of Electronic Publication: 2026 Jan 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0339490 |
