Abstract: To accurately and robustly solve electromagnetic inverse scattering problems (ISPs), a physics-constrained neural network (PCNN) method is proposed in this work. The method adopts the Born ...
Inverse Design Method for Horn Antennas Based on Knowledge-Embedded Physics-Informed Neural Networks
Abstract: This letter aims to overcome the challenges faced by physics-informed neural networks (PINNs) in metal structure design. Taking the design of horn antennas as an example, we propose ...
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