Evidence map›Paper›PMID 40854891›Full record

ArticleNature communications2025

Programmable liquid-core fibers: Reconfigurable local dispersion control for computationally optimized ultrafast supercontinuum generation.

Johannes Hofmann, Ramona Scheibinger, Bennet Fischer, Mario Chemnitz, Markus A Schmidt

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Johannes HofmannLeibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, Jena, Germany.ORCID http://orcid.org/0009-0003-0438-2210
Ramona ScheibingerLeibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, Jena, Germany.
Bennet FischerLeibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, Jena, Germany.ORCID http://orcid.org/0000-0002-1186-0167
Mario ChemnitzLeibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, Jena, Germany.ORCID http://orcid.org/0000-0002-8340-7214
Markus A SchmidtLeibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, Jena, Germany. markus-alexander.schmidt@uni-jena.de.ORCID http://orcid.org/0000-0002-5324-6405

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) JU3230/1-1Deutsche Forschungsgemeinschaft (German Research Foundation) SCHM2655/23-1
6 · The paper itself

Abstract

The field of computationally controlled light faces a strong demand for new platforms capable of providing adaptable light generation to meet the requirements of advanced photonic technologies. Here, we present the concept of computationally optimized nonlinear frequency conversion in programmable liquid-core fibers that enables real-time tunable and reconfigurable nonlinear power distribution through computationally optimized dispersion landscapes. The concept combines a temperature-sensitive mode in a liquid-core fiber, particle swarm optimization, fission of ultra-fast solitons, and a computer-controlled heating array to create a feedback loop for controlling output spectra via local temperature-induced dispersion modulation. Experiments and simulations show significant improvements in spectral power density over multiple predefined intervals simultaneously and broadband improved spectral flatness, highlighting the robustness and adaptability of the system. Beyond supercontinuum generation, the platform offers broad applicability to phenomena such as harmonic generation, soliton dynamics, spectral filtering, and multimode and hybrid fiber systems, opening up exciting opportunities for fundamental research and advanced photonic technologies.

Identifiers

PMID40854891
PMCPMC12379246

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.