Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method

Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method

The artificial neural network (ANN)-based compact model has significant advantages over physics-based standard compact models such as BSIM-CMG because it can achieve higher accuracy over a wide range of geometric parameters. This makes it particularly suitable for design space exploration and optimi...

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Bibliographic Details
Main Authors: Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of the Electron Devices Society
Subjects:
Artificial neural network (ANN)
machine learning (ML)
device modeling
compact model
binning
emerging device
Online Access:https://ieeexplore.ieee.org/document/10371311/
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