A Deep Learning Approach for Efficient Electromagnetic Analysis of On-Chip Inductor with Dummy Metal Fillings

A deep learning approach for the efficient electromagnetic analysis of an on-chip inductor with dummy metal fillings (DMFs) is proposed. By comparing different activation functions and loss functions, a deep neural network for DMF modeling is built using a smooth maximum unit activation function and...

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Bibliographic Details
Main Authors: Xiangliang Li, Yijie Tang, Peng Zhao, Shichang Chen, Kuiwen Xu, Gaofeng Wang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/24/4214