In this paper, an impedance boosting series-resonance oscillator using inverse-coupling transformer and current-compressed transistor is proposed to achieve the low phase noise and low power consumpti...
A framework based on a physics-informed neural operator is proposed to solve electromagnetic forward and inverse scattering problems. By embedding the governing physical equations directly into the le...
A strategy for efficiently generating high-quality training datasets for forward electromagnetic (EM) surrogates that predict the performance of pixelated microwave passive devices is presented. A pre...
RFIC design often involves exploring numerous variations within a static environment of processing stacks and unchanged blocks. While conventional electromagnetic solvers inefficiently require full-do...
The numerical system resulting from a partial differential equation based solution of Maxwell’s equations is ill-posed due to the rank-deficient curl-operator. We find an efficient and exact method to...
This paper introduces a novel data-driven framework for modeling dispersive media with the Finite-Difference Time-Domain (FDTD) method. Instead of employing the standard Auxiliary Differential Equatio...
Quantized tensor train (QTT) decomposition is applied to the finite-difference time-domain (FDTD) method to reduce the cost of spatial operations on structured grids. In a two-dimensional scattered-fi...
The Load Modulated Balanced Amplifier (LMBA) has found its space as a valid alternative to Doherty PAs. However, the flexibility of the LMBA action allows other modes of operation than efficiency enha...
This paper presents a novel VSWR-resilient power amplifier (PA) consisting of three amplifiers combined via a hybrid coupler. By switching the roles of the three amplifiers among main, auxiliary, shor...
This paper presents a novel filtering power amplifier with frequency and mode reconfigurability. The design employs a tunable filtering quadrature coupler as a post-matching power combiner, consisting...