Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers
- Conference Paper
We propose using machine learning models for the direct synthesis of on-chip electromagnetic (EM) passive structures to enable rapid or even automated designs and optimizations of RF/mm-Wave circuits. As a proof of concept, we demonstrate the direct synthesis of a 1:1 transformer on a 45nm SOI process using our proposed neural network model. Using pre-existing transformer s-parameter files and their geometric design training samples, the model predicts target geometric designs. Show more
Book title2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC)
Pages / Article No.
Subjectdirect synthesis; machine learning; rapid design
Organisational unit09757 - Wang, Hua / Wang, Hua
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