We propose a novel, to the best of our knowledge, 1 × 5 broadband power splitter based on the photonic crystal. The Powell algorithm is used to reverse-design the proposed broadband power splitter. The results show that the transmittance of each output port of the broadband photonic crystal power splitter can be adjusted by changing the radii and offsets of the dielectric rods at the junction area of each waveguide. According to the target splitting ratio, the reverse design of the structural parameters using the Powell algorithm significantly improves the optimization efficiency and splitting performance of the broadband power splitter. The designed power splitters have a wide working bandwidth of 1525–1565 nm, a flexible and designable power splitting ratio, excellent splitting performance, and a compact size, which have great application prospects in all-optical communication networks, high-density photon integration, and other fields.
A Ge-doped dual-core dispersion compensation photonic crystal fiber (DC-DCPCF) is proposed. The small diameters of two layers' air holes make DC-DCPCF form a dual-core structure, which is conducive to broadband dispersion compensation. Low Ge-doped silica as the only background material reduces the preparation difficulty and cost. It is inversely designed by using artificial neural network (ANN) combined with differential evolution algorithm (DE) to obtain target dispersion compensation. ANN replaces the finite element method to accomplish fast forward prediction of DC-DCPCF properties. DE solves the single solution problem of single or cascade network that makes it flexible and reproducible. The results demonstrate that the designed DC-DCPCF can not only compensate 45 and 25 times its length of Corning single-mode fiber 28 (SMF28) in S+C+L+U bands and E+S+C+L+U bands respectively, but also accurately compensate the residual dispersion with effective dispersion compensation being only +0.005∼+0.842ps/(nm•km) and −0.03∼+1.31ps/(nm•km), respectively. In addition, the kappa values of DCP-PCF are well matched with SMF28 in the broadband wavelength range. It takes only about 10 seconds to complete the inverse design of the target DC-DCPCF. It provides a design method for custom DC-DCPCF and an efficient inverse design solution for photonic automation in fiber optical communication systems. Index Terms-Deep learning, differential evolution algorithm, dual-core dispersion compensation fiber, enter keywords or phrases in alphabetical order, inverse design, photonic crystal fiber. I. INTRODUCTIONI N MODERN optical fiber communication systems, especially in long-range transmission systems such as dense wavelength division multiplexing (DWDM), dispersion compensation is of crucial importance [1], [2], [3]. Since the conventional single mode fiber has dispersion accumulation at each wavelength in the optical fiber transmission link, it is necessary to compensate not only the dispersion but also the dispersion slope [4], [5]. In consequence, some designs of dual-core dispersion compensation photonic crystal fiber (DC-DCPCF).
A coaxial dual-core wavelength-tunable dispersion compensation photonic crystal fiber (WT-DC-PCF) is designed in this paper. The tunable range of 1512–1587 nm with an ultrahigh negative dispersion of − 27315.76 p s / ( n m ⋅ k m ) at 1550 nm has been obtained simultaneously by filling the temperature-sensitive material into the air holes of the WT-DC-PCF. The full width at half-maximum is up to 12.4 nm, and a low confinement loss is always maintained. In addition, the phase-matching wavelength is basically linear with the temperature, which can be accurately adjusted to 1550 nm. Therefore, the proposed WT-DC-PCF is able to be used in achieving complete dispersion compensation in communication systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.