Physics-Informed Neural Networks for Magnetostatic Problems on Axisymmetric Transformer Geometries

被引：0
|
作者：
Brendel, Philipp [1 ]
Medvedev, Vlad [1 ]
Rosskopf, Andreas [1 ]
机构：
[1] Fraunhofer Institute for Integrated Systems and Device Technology Iisb, Erlangen,91058, Germany
来源：
IEEE Journal of Emerging and Selected Topics in Industrial Electronics | 2024年 / 5卷 / 02期
关键词：
Electric potential - Geometry - Magnetic domains - Magnetostatics - Power electronics;
D O I：
10.1109/JESTIE.2023.3346798
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：700 / 709
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