Efficient Uncertainty Quantification in Electromagnetic Modeling Using Physics-Informed Deep Operator Neural Networks
2024 IEEE INC-USNC-URSI RADIO SCIENCE MEETING (JOINT WITH AP-S SYMPOSIUM)（2024）
Key words
Neural Network,Uncertainty Quantification,Electromagnetic Model,Efficient Uncertainty Quantification,Machine Learning Methods,Machine Learning Models,Number Of Simulations,Maxwell’s Equations,Train Machine Learning,Train Machine Learning Models,Fabrication Tolerance,Data-driven Machine Learning,Polynomial Chaos
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