Abstract:
In this study, a novel statistical device model, dGPLVM, is proposed. In dGPLVM, device variation is compactly represented using low-dimensional latent variables and temp...Show MoreMetadata
Abstract:
In this study, a novel statistical device model, dGPLVM, is proposed. In dGPLVM, device variation is compactly represented using low-dimensional latent variables and temperature dependence can be incorporated. The fitting accuracy of the dGPLVM and the generated device characteristics obtained through sampling in the latent space are validated using the measurement results of commercial power MOSFETs. Verilog-A implementation of the proposed method demonstrates its practicality.
Date of Conference: 21 March 2022 - 15 April 2022
Date Added to IEEE Xplore: 26 September 2022
ISBN Information: