Machine Learning Surrogate Modeling for Accurate Prediction of GAA ‐ MOSFET Electrical Characteristics
Machine learning regression models were employed to predict the electrical characteristics of GAA‐MOSFETs using a dataset of 459 simulation points. The models considered input features including gate voltage, drain voltage, channel length, silicon thickness, and metal work functions, with the logarithm of the drain...