A novel finite-difference time-domain (FDTD)-based method is developed to analyze 3-D
microwave circuits with uncertain parameters, such as variability and tolerances in the physical …

The determination of the attenuation constants of periodic leaky-wave structures via the finite-difference
time-domain (FDTD) method has been pursued so far via the simulation of a …

This letter presents a perfectly matched layer (PML) for the subcell finite-difference time-domain
(FDTD) method for thin dispersive layers. Such a PML is useful when thin layers extend …

A non-intrusive formulation of the polynomial chaos method is applied to quantify the
uncertainties in deterministic models of the indoor radio channel. Deterministic models based on …

Parabolic equation (PE) methods have been widely applied to the modeling of wireless
propagation in tunnel environments. However, the relevant literature does not include concrete …

We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification and …

A fundamental challenge for machine learning (ML) models for electromagnetics is their
ability to predict output quantities of interest (such as fields and scattering parameters) in …

Wireless power transfer systems with multiple transmitters promise advantages of higher
transfer efficiencies and focusing effects over single-transmitter systems. From the standard …

This monograph is a comprehensive presentation of state-of-the-art methodologies that can
dramatically enhance the efficiency of the finite-difference time-domain (FDTD) technique, …

This paper presents a rigorous optimization technique for wireless power transfer (WPT)
systems enhanced by passive elements, ranging from simple reflectors and intermediate relays …