Abstract: Compared with the conventional cone and cone-cylinder space targets, streamlined space targets (SSTs) have attracted significant attention due to low scattering performance. In this article, ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
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