The main entry-point to the machine-learning frameworks for multi-material core-loss modeling are within the /Unified/ directory. /Unified/overview.txt provides an overview of the relevant scripts and their functionality. The other directories contain experimental, unfinished, and work-in-progress codes for core-loss modeling with various machine-learning attempts.
- E. Deleu et al., "Multi-Material Power Magnetics Modeling with a Modular and Scalable Machine Learning Framework," 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, CA, USA, 2024, pp. 370-377, doi: 10.1109/APEC48139.2024.10509142.
@INPROCEEDINGS{coreloss_deleu2024,
author={Deleu, Edward and Li, Haoran and Li, Joe and Lee, Wonju and Guillod, Thomas and Sullivan, Charles R. and Wang, Shukai and Chen, Minjie},
booktitle={2024 IEEE Applied Power Electronics Conference and Exposition (APEC)},
title={Multi-Material Power Magnetics Modeling with a Modular and Scalable Machine Learning Framework},
year={2024},
volume={},
number={},
pages={370-377},
doi={10.1109/APEC48139.2024.10509142}}