A measurement-based quasi-static nonlinear field-effect transistor (FET) model relying on an
artificial neural network (ANN) approach and using real-time active load-pull (RTALP) …

This paper proposes a novel approach for modeling the nonlinear behavior of microwave
devices, with a particular focus on addressing the challenging problem of modeling …

An efficient and accurate knowledge-guided neural network (KGNN) modeling method for
microwave active devices is proposed. The KGNN-based modeling method specifically …

Latin America is a vast region of the American continents, spanning the southern part of
North America, Central America, South America, and the Caribbean, covering 21 million km …

The application of neural networks has been investigated in many fields, but the feasibility of
estimating the nonlinear multi-physics behavior in a real-time environment by applying …

The last seven years, Cinvestav-GDL and CICESE, two of the most important research
centers in Mexico, have been working together in several microwave research topics. This …

By using a neural network approach that takes into account input/output relationship data
along with derivative information in the training process, a fast and straightforward …

The sub-level model plays an important role in the vital steps in the design of various circuits
and systems. From the point of microwave circuits, the large-signal model is crucial to …

To satisfy power and frequency requirements for commercial RF applications, various
semiconductor materials and device structures have been introduced and developed …