Theoretical studies of modulation instability, Fermi–Pasta–Ulam recurrence and pattern formation in an ultra‐silicon‐rich‐nitride Bragg grating

Ultra-silicon-rich nitride Bragg gratings provide a powerful platform for precise light manipulation in photonic chips. Their exceptionally high nonlinearity and strong grating-induced dispersion near the stop-band edges significantly reduce the power and length required for chip-scale light-matter interactions. Using computational methods, we theoretically investigate modulational instability, Fermi-Pasta-Ulam recurrence, and pattern formation in this platform within the framework of the Akhmediev breather. We assess their experimental feasibility and show that this platform can generate a high-quality pulse train at the output. We demonstrate that modulational instability can be triggered in the gratings as short as 1-2 mm, leading to Akhmediev breather formation. By analyzing the full dispersion profile, we identify pump wavelengths that generate new frequencies and show that the grating also can produce a comb-like discrete spectrum. Furthermore, we reveal that even with high loss, parametric amplification at the grating output is possible, highlighting its potential as a nonlinear platform for frequency comb generation, wavelength-multiplexed data transmission, and high-precision pulse processing.

Authors

Institutions

Publication Details

Journal
Nanophotonics
Published
2025-05-22
DOI
https://doi.org/10.1515/nanoph-2025-0073
Primary Topic
Advanced Fiber Laser Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Theoretical studies of modulation instability, Fermi–Pasta–Ulam recurrence and pattern formation in an ultra‐silicon‐rich‐nitride Bragg grating

Amdad Chowdury, Dawn T. H. Tan, Benjamin J. Eggleton
Nanophotonics
Advanced Fiber Laser Technologies
article

Theoretical studies of modulation instability, Fermi–Pasta–Ulam recurrence and pattern formation in an ultra‐silicon‐rich‐nitride Bragg grating

Amdad Chowdury, Dawn T. H. Tan, Benjamin J. Eggleton
article en

Abstract

Ultra-silicon-rich nitride Bragg gratings provide a powerful platform for precise light manipulation in photonic chips. Their exceptionally high nonlinearity and strong grating-induced dispersion near the stop-band edges significantly reduce the power and length required for chip-scale light-matter interactions. Using computational methods, we theoretically investigate modulational instability, Fermi-Pasta-Ulam recurrence, and pattern formation in this platform within the framework of the Akhmediev breather. We assess their experimental feasibility and show that this platform can generate a high-quality pulse train at the output. We demonstrate that modulational instability can be triggered in the gratings as short as 1-2 mm, leading to Akhmediev breather formation. By analyzing the full dispersion profile, we identify pump wavelengths that generate new frequencies and show that the grating also can produce a comb-like discrete spectrum. Furthermore, we reveal that even with high loss, parametric amplification at the grating output is possible, highlighting its potential as a nonlinear platform for frequency comb generation, wavelength-multiplexed data transmission, and high-precision pulse processing.

NanophotonicsVol. 14(13)
University of Technology Sydney (AU), Agency for Science, Technology and Research (SG), The University of Sydney (AU), Singapore University of Technology and Design (SG), Institute of Microelectronics (SG), Institute of Materials Research and Engineering (SG)
Openalex Percentile: Top 91%
Advanced Fiber Laser Technologies
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.