Transmission enhancement in photonic crystal T-junction waveguides using defect engineering

This paper investigates transmission optimization in photonic crystal T-junction waveguides using defect engineering. Six modified junction structures are analyzed using the finite-difference time-domain (FDTD) method. The optical transmission characteristics are evaluated through normalized transmission spectra, and several quantitative performance metrics including insertion loss, transmission enhancement factor, effective transmission bandwidth, and average transmission are introduced for systematic comparison. The results show that the optimized configuration significantly improves the transmission efficiency of the junction. In particular, the peak transmission increases from approximately 0.15 in the reference structure to about 0.42 in the optimized design, corresponding to a reduction of insertion loss from 8.24 dB to 3.77 dB. In addition, the optimized structure exhibits a broader transmission bandwidth and higher average transmission across the operating frequency range. Field distribution analysis reveals that the improved performance originates from enhanced mode matching and reduced scattering at the junction interface. These results demonstrate that defect engineering provides an effective approach for improving power transmission in photonic crystal waveguide junctions and may be useful for integrated photonic circuits.

Authors

Institutions

Publication Details

Journal
Results in Optics
Published
2026-09-01
DOI
https://doi.org/10.1016/j.rio.2026.101143
Primary Topic
Photonic Crystals and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transmission enhancement in photonic crystal T-junction waveguides using defect engineering

Tahmineh Jalali, Ahmad Mohammadi, Kasra Shadkami
Results in Optics
Photonic Crystals and Applications
article

Transmission enhancement in photonic crystal T-junction waveguides using defect engineering

Tahmineh Jalali, Ahmad Mohammadi, Kasra Shadkami
article en

Abstract

This paper investigates transmission optimization in photonic crystal T-junction waveguides using defect engineering. Six modified junction structures are analyzed using the finite-difference time-domain (FDTD) method. The optical transmission characteristics are evaluated through normalized transmission spectra, and several quantitative performance metrics including insertion loss, transmission enhancement factor, effective transmission bandwidth, and average transmission are introduced for systematic comparison. The results show that the optimized configuration significantly improves the transmission efficiency of the junction. In particular, the peak transmission increases from approximately 0.15 in the reference structure to about 0.42 in the optimized design, corresponding to a reduction of insertion loss from 8.24 dB to 3.77 dB. In addition, the optimized structure exhibits a broader transmission bandwidth and higher average transmission across the operating frequency range. Field distribution analysis reveals that the improved performance originates from enhanced mode matching and reduced scattering at the junction interface. These results demonstrate that defect engineering provides an effective approach for improving power transmission in photonic crystal waveguide junctions and may be useful for integrated photonic circuits.

Results in Optics
Persian Gulf University (IR)
Persian Gulf University
Affordable and clean energy
Openalex Percentile: Top 13%
Photonic Crystals and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.