Most neural networks proposed for computational imaging (CI) in the terahertz (THz) bands
require a large amount of experimental data to optimize their weights and biases. However …

This work introduces an enhanced terahertz (THz) imaging system based on a homodyne
detection scheme with integrated resonant C-shaped complementary split-ring resonator …

We present observations of parasitic frequency components in the emission spectrum of
typical photomixer sources for continuous wave (CW) terahertz generation. Broadband …

This article presents a study on performance optimization and resonant frequency
modification of terahertz (THz) detectors by the use of hyper-hemispherical silicon …

Terahertz (THz) imaging is one of the hotspots in the field of optics, where the depth
information retrieval is a key factor to restore the three-dimensional appearance of objects …

A detector of electromagnetic radiation may benefit–if its sensor area is small–from the
application of a substrate lens, which focusses the radiation onto the active sensing area of …

In the past decade, detection of THz radiation by plasma-wave-assisted frequency mixing in
antenna-coupled field-effect transistors (TeraFETs)--implemented in various semiconductor …

This study proposes a novel approach utilizing a physics-informed deep learning (DL)
algorithm to reconstruct occluded objects in a terahertz (THz) holographic system. Taking …

This study proposes a novel approach to reconstruct occluded objects in terahertz (THz)
holographic systems using physics-informed deep learning (DL) algorithms. By …

This paper demonstrates a depth reconstruction method for THz holography based on deep
learning (DL) algorithm. We incorporate Fresnel diffraction as the physical prior knowledge …