Uncertainty Quantification in PEEC Method: A Physics-Informed Neural Networks-Based Polynomial Chaos Expansion
PROCEEDINGS OF THE 2024 IEEE JOINT INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, SIGNAL & POWER INTEGRITY EMC JAPAN/ASIAPACIFIC INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, EMC JAPAN/APEMC OKINAWA 2024(2024)
Key words
Uncertainty quantification,partial equivalent element circuit,polynomial chaos expansion,physics-informed neural networks
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined