Physics- Informed Neural Networks for Inverse Electromagnetic Problems
Author:
Affiliation:
1. Dep. of Optimization, Fraunhofer ITWM,Kaiserslautern,Germany
2. University of Pavia,Dep. of Industrial & Information Eng.,Pavia,Italy
3. McGill University,Dep. of Electrical & Computer Eng.,Montreal,QC,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9940615/9940627/09940890.pdf?arnumber=9940890
Reference12 articles.
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3. Solving 1D non‐linear magneto quasi‐static Maxwell's equations using neural networks
4. MaxwellNet: Physics-driven deep neural network training based on Maxwell’s equations
5. Magnetostatics and micromagnetics with physics informed neural networks
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