Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

A core dielectric cylindrical rod wrapped in a dielectric circular pipe whose outer surface is enclosed by a helical conducting strip grating that is skewed along the axial direction is herein analyzed using the asymptotic strip boundary conditions along with classical vector potential analysis. Targeted for use as a cylindrical holographic antenna, the resultant field solutions facilitate the aperture integration of the equivalent cylindrical surface currents to obtain the radiated far fields. As each rod section of a certain skew angle exhibits a distinct modal attribute; this topology allows for the distribution of the cylindrical surface impedance via the effective refractive index to be modulated, as in gradient-index (GRIN) materials. Beam steering can also be achieved by altering the skew angle via mechanical sliding motion while leaving the cylindrical structure itself unchanged, as opposed to impractically reconfiguring the geometrical and material parameters of the latter to attain each new beam direction. The results computed by the program code based on the proposed technique in terms of the modal dispersion and radiation patterns are compared with simulations by a software solver. Manufactured prototypes are measured, and experimentally acquired dispersion diagrams and radiation patterns are favorably compared with theoretical predictions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11678967PMC
http://dx.doi.org/10.3390/s24248119DOI Listing

Publication Analysis

Top Keywords

boundary conditions
8
cylindrical surface
8
skew angle
8
radiation patterns
8
cylindrical
6
modal analysis
4
analysis asymptotic
4
asymptotic strips
4
strips boundary
4
conditions skewed
4

Similar Publications

Objective: Due to its inherent high instability, the selection of fixation strategies for unilateral Denis type II sacral fractures remains a controversial challenge in the field of traumatic orthopedics. This study focuses on unilateral Denis type II sacral fractures. By applying three different fixation methods, it aims to explore their biomechanical properties and provide a theoretical basis for optimizing clinical fixation protocols.

View Article and Find Full Text PDF

Gene mutation estimations via mutual information and Ewens sampling based CNN & machine learning algorithms.

J Appl Stat

February 2025

Department of Mathematics and State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, People's Republic of China.

We conduct gene mutation rate estimations via developing mutual information and Ewens sampling based convolutional neural network (CNN) and machine learning algorithms. More precisely, we develop a systematic methodology through constructing a CNN. Meanwhile, we develop two machine learning algorithms to study protein production with target gene sequences and protein structures.

View Article and Find Full Text PDF

Reversible Manipulations of Triangular-Shaped Mirror Twin Boundary Loops in Ultrathin NiTe.

Nano Lett

September 2025

School of Materials Science and Engineering, Peking University, Beijing 100871, People's Republic of China.

High-density mirror twin boundaries (MTBs) embedded in two-dimensional (2D) transition metal dichalcogenides (TMDCs) have emerged as fascinating platforms for exploring charge density wave and Tomonaga-Luttinger liquid-related issues. However, the reversible manipulation of high-density MTBs in 2D TMDCs remains challenging. Herein, we report the first fabrication of high-density MTB loops in ultrathin 1T-NiTe on the SrTiO(001) substrate, by postannealing as-grown 1T-NiTe under Te-deficient conditions.

View Article and Find Full Text PDF

Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.

View Article and Find Full Text PDF

We have developed a new true triaxial apparatus for rock deformation, featuring six servo-controlled loading rams capable of applying maximum stresses of 220 MPa along the two horizontal axes and 400 MPa along the vertical axis to cubic rock samples of 50 mm side. Samples are introduced into a steel vessel, allowing rock specimens to be subjected to confining pressures of up to 60 MPa. Pore fluid lines connected to two pump intensifiers enable high-precision permeability measurements along all three principal stress directions.

View Article and Find Full Text PDF