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Residual Network Based Direct Synthesis of EM Structures A Study on One-to-One Transformers

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Document pages: 11 pages

Abstract: We propose using machine learning models for the direct synthesis of on-chipelectromagnetic (EM) passive structures to enable rapid or even automateddesigns and optimizations of RF mm-Wave circuits. As a proof of concept, wedemonstrate the direct synthesis of a 1:1 transformer on a 45nm SOI processusing our proposed neural network model. Using pre-existing transformers-parameter files and their geometric design training samples, the modelpredicts target geometric designs.

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