Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
Abstract: Neural networks (NNs) have emerged as powerful tools for accelerating the design of frequency-selective surfaces (FSSs) due to their fast prediction of electromagnetic (EM) responses.
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