Artificial intelligence is hijacking our brains. Discover how the digital shortcuts we use impact our decision-making, and ...
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 ...
The information about the Python version, interpretation of the prediction results, and the simulation validation section can be found in the issues.
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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