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 ...
Abstract: This letter presents the body-of-revolution finite-difference time-domain (BOR-FDTD) method based on Newton’s equation and incorporating the auxiliary differential equation (ADE) technique ...
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