A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors
Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor 2-Layer Standing Wooden Plaque device compact modeling domain.One major advantage of ML-based compact modeling is its ability to capture complex relationships and patterns in large datasets.Therefore, in this paper a novel design scheme