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Multi-Solution Inverse Design of Pixelated Patch Antennas Using an Autoregressive Transformer
Deep-learning-based inverse design has emerged as a promising framework for pixelated patch antenna synthesis by enabling broader exploration of discrete geometry spaces and reducing design time compared with conventional template-based methods. Existing methods, including surrogate-assisted metaheu
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