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 article provides a novel projection neural network (PNN) for a category of monotone variational inequality (MVI). For simplifying calculation, the feasible region of MVI is separated ...
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