Autonomous User-Defined Supercontinuum Optimization via Programmable Liquid-Core Optical Fiber

The field of computationally controlled light seeks new platforms providing adaptable, tailored spectral outputs for advanced photonic applications. Current approaches for reconfigurable supercontinuum generation (SCG) rely on either fixed fiber dispersion modified by input pulse shaping [1] or mechanical deformations of multimode fibers [2], which limit spectral modulation range or modes stability.

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Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110125
Primary Topic
Optical Network Technologies
Type
article
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Autonomous User-Defined Supercontinuum Optimization via Programmable Liquid-Core Optical Fiber

Johannes Hofmann, Markus Alexander Schmidt, Mario Chemnitz, Bennet Fischer et al.
Optical Network Technologies
article

Autonomous User-Defined Supercontinuum Optimization via Programmable Liquid-Core Optical Fiber

Johannes Hofmann, Markus Alexander Schmidt, Mario Chemnitz, Bennet Fischer, Ramona Scheibinger
article en

Abstract

The field of computationally controlled light seeks new platforms providing adaptable, tailored spectral outputs for advanced photonic applications. Current approaches for reconfigurable supercontinuum generation (SCG) rely on either fixed fiber dispersion modified by input pulse shaping [1] or mechanical deformations of multimode fibers [2], which limit spectral modulation range or modes stability.

Leibniz Institute of Photonic Technology (DE)
Affordable and clean energy
Openalex Percentile: Top 79%
Optical Network Technologies
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