Abstract: Tensor-train (TT) decompositions have the potential to significantly improve the performance of finite-difference time-domain (FDTD) algorithms in terms of CPU time and memory storage. To ...
Abstract: In the study of electromagnetic (EM) applications, solving Maxwell’s equations to obtain spatial-temporal field evolution is a critical step. The deep learning (DL) is a new promising way to ...
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