Characterization of the propagation in photonic crystal fibers with the scalar-finite element method

Cherbi, L.; Bellalia, A.; Bahloul, L.; Touzene, M.; Lamara, Maurice

doi:10.1117/12.921275

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several geometries of PCF are reported by introducing new design methods . A few techniques used to achieve flattened dispersion curve include tailoring the diameter of air holes and varying the shape/dimension of air holes and air holes filled with different liquids and gases . Smaller air holes in the innermost layer of the cladding region determine the overall flatness of the dispersion curve .…”

Section: Introductionmentioning

confidence: 99%

Design of nonlinear photonic crystal fibers with ultra‐flattened zero dispersion for supercontinuum generation

2020

View full text Add to dashboard Cite

The study reports on the design and performance of two air‐filled and two partial ethanol‐filled photonic crystal fiber (PCF) structures with a tetra core for supercontinuum generation. The PCFs are nonlinear with ultra‐flattened zero dispersion. Holes with smaller areas are used to create a tetra‐core PCF structure. Ethanol is filled in the holes of smaller area while the larger holes of cladding region are air‐filled. Optical properties including dispersion, effective mode area, confinement loss, normalized frequency, and nonlinear coefficient of the designed PCF structures are investigated via full vector finite difference time domain (FDTD) method. A PCF structure with lead silicate as wafer exhibits significantly better results than a PCF structure with silica as wafer. However, both structures report dispersion at a telecommunication wavelength corresponding to 1.55 μm. Furthermore, the PCF structure with lead silicate as wafer exhibits a very high nonlinear coefficient corresponding to 1375 W−1 km−1 at the same wavelength. This scheme can be used for optical communication systems and in optical devices by exploiting the principle of nonlinearity.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of nonlinear photonic crystal fibers with ultra‐flattened zero dispersion for supercontinuum generation

2020

View full text Add to dashboard Cite

show abstract

“…Not only does it rely on the researcher's experience to a high degree, but also it is difficult to obtain the excellent performance of the multi-parameter DC-DCPCF. So inversely designing multiple parameters by optimization algorithms is proposed to obtain a DC-DCPCF with highly similar performance to the target dispersion compensation by finite iterations of the FEM [10]. Although the search efficiency and accuracy of the optimal solution are improved, with the increase of DC-DCPCF structure parameters, the longtime numerical simulation and FEM still occupy a large number of computational resources, and the efficiency of the optimal search needs to be further improved.…”

mentioning

confidence: 99%

Inverse Design of Broadband Dispersion Compensation Fiber Based on Deep Learning and Differential Evolution Algorithm

et al. 2023

IEEE Photonics J.

View full text Add to dashboard Cite

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).

show abstract

Characterization of the propagation in photonic crystal fibers with the scalar-finite element method

Cited by 2 publications

References 0 publications

Design of nonlinear photonic crystal fibers with ultra‐flattened zero dispersion for supercontinuum generation

Design of nonlinear photonic crystal fibers with ultra‐flattened zero dispersion for supercontinuum generation

Inverse Design of Broadband Dispersion Compensation Fiber Based on Deep Learning and Differential Evolution Algorithm

Contact Info

Product

Resources

About