Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...
Abstract: In addressing the computational inefficiency arising from complex boundary conditions and multiscale features in large-scale electromagnetic analyses, an accelerated memory efficient ...
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