Frequency selective surfaces (FSSs) have attracted extensive attention for suppressing
interference and improving channel quality and coverage by selectively transmitting or …

Microwaves are non-ionizing electromagnetic radiation with waves of electrical and
magnetic energy transmitted at different frequencies. They are widely used in various …

We present a deep neural network-based framework for designing multiband microstrip
antennas given a desired impedance matching spectrum. The approach enables a design …

Frequency selective rasorber (FSR) has been applied in many fields due to the specific
ability to filter and absorb electromagnetic waves by designing the geometrical shapes and …

One challenge in the design of frequency-selective surface (FSS) is that the designed results
are difficult to meet the accuracy demand of various physical properties simultaneously, part …

Multifunctional frequency-selective surfaces (FSSs) provide many possibilities for controlling
electromagnetic waves as well as for reducing electromagnetic interferences (EMIs) …

To solve the time-consuming and complex design problems, the deep learning method is
used to realize the inverse predictive design of a transmission-type linear-to-circular …

Bonding wire arrays (BWAs) play an important role in multichip systems. In particular, the
inductance, value, and loss of BWA are closely related to the performance of the chip …

Artificial intelligence (AI) techniques are increasingly being used for the inverse design of
microwave devices. However, several challenges, including intensive computation costs for …

Pixel antennas expressed in the form of discrete variable's structure (DVS) demonstrate
immense potential in electromagnetic (EM) performance, but the design process relies on a …