An Accurate and Reliable Behavioral Modeling Technique for Fully Printed Vanadium Dioxide RF Switches Using Model Ensembling Approach

Husain S. Kadirbay B. Vaseem M. Shamim A. Hashmi M.
2025 Institute of Electrical and Electronics Engineers Inc.

IEEE Access
2025 #13 131638 - 131653 pp.

This paper develops and showcases a model ensembling-based accurate, reliable and computer-aided design integrable behavioral modeling technique for emerging fully printed Vanadium dioxide (VO₂) based Radio Frequency (RF) switches. Initially, separate and independent models are trained using Extreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Light Gradient Boosting Machine (LightGBM) gradient boosting frameworks. The hyperparameters of the standalone XGBoost, CatBoost, and LightGBM based models are optimized using random search optimization coupled with a cross-validation scheme. Subsequently, weighted ensemble models are constructed by leveraging the optimally trained XGBoost, CatBoost, and LightGBM based models. It is vital to carefully calibrate the ensembling weights; therefore, an optimization algorithm, namely Tuna Swarm Optimization (TSO), is employed. Finally, all the developed models are tried and validated on standard regression tests, including mean relative error across all operating temperature conditions. The proposed weighted ensemble models have achieved remarkable accuracy and efficiency in simulating the behavior of VO₂ RF switches.

Behavioral modeling , CatBoost , fully printed VO₂ switch , LightGBM , model ensembling , XGBoost

Text of the article Перейти на текст статьи

Nazarbayev University, School of Engineering and Digital Sciences, Department of Electrical and Computer Engineering, Astana, 010000, Kazakhstan
King Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Sciences and Engineering Division, Thuwal, 23955, Saudi Arabia

Nazarbayev University
King Abdullah University of Science and Technology (KAUST)

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026