Optical spin currents in chiral optical fibers
Annotation
This paper is devoted to the study of optical chiral cylindrical waveguides from the point of view of their application in optical spintronics. In the paper, it is proposed to use a chiral optical cylindrical waveguide as an optical spin diode. The mode structure of the waveguide under consideration is calculated and the dispersion equation for fundamental modes of the waveguide with an azimuthal number m = ±1 is numerically solved for various values of the chirality parameter of the waveguide material. Expressions for the energy flux and the optical spin current inside the waveguide are derived. It is shown that in the single-mode regime, the direction of the optical spin currents in the waveguide is determined exclusively by the sign of the chirality parameter of the waveguide material, regardless of the azimuthal number and the direction of mode propagation. Due to this, the superposition of m = 1 and m = –1 modes propagating in opposite directions will have a zero energy flux, but a nonzero optical spin current. Our results expand the element base of optical spintronics and open up new ways for creating energy-efficient optical computing systems.
Keywords
Постоянный URL
Articles in current issue
- Application of machine vision for automatic control of the process of growing monocrystals of thallium halides using the Bridgman-Stockbarger method
- Geometric modeling and compensation of cutting tool positioning errors for eliminating protrusion in large-radius spherical surface machining
- Control of composition and determination of dosage of hydrate formation inhibitors by their infrared spectra
- Classification of human motor activity based on multisensory data analysis
A universal architecture model of a crowdsourcing medical data labeling system designed
Методы оптимизации роя частиц и локальная эвристика для решения задачи о нескольких коммивояжерах
- Accelerating and analyzing performance of shortest path algorithms on GPU using CUDA platform: Bellman-Ford, Dijkstra, and Floyd-Warshall algorithms
Anomaly detection for IIoT: analyzing Edge-IIoTset dataset with varied class distributions
- Incorporating negative examples into Hidden Markov Model-based classification of peptide sequences
- Vector embeddings compression using clustering with the ensemble of oblivious decision trees and separate centroids storage
Enhanced detection of denial-of-service attacks in Kubernetes: a multi-framework machine learning approach integrating node and application metrics
Experimental results of using AES-128 in LoRaWAN
Solving the problem of autonomous drone navigation based on the integration of inertial and optical measurement systems
- Mathematical model of the motion of a spherical rotor during finishing with cup laps and free abrasive
Experimental study of the optically transparent gas flow and temperature field using the background oriented Schlieren method
- Development and research of a reinforcement learning method for acoustic diagnostics of industrial equipment
Methods of modeling anomalous modes of dynamic processes based on energy estimation
Wave regression: nonlinear cognitive heuristic
- Assessment of the reliability of a recoverable container virtualization cluster
- Calculation of the volume of simplex in barycentric coordinates in a multidimensional Euclidean space
Probabilistic matrix clustering with feature priors for unbiased control selection