Evidence map›Paper›PMID 41112318›Full record

ArticleACS photonics2025

Mode Visualization and Control of Complex Lasers Using Neural Networks.

Wai Kit Ng, T V Raziman, Dhruv Saxena, Korneel Molkens, Ivo Tanghe, Zhenghe Xuan, Pieter Geiregat, Dries Van Thourhout, Mauricio Barahona, Riccardo Sapienza

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In one paragraph

Article in ACS photonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Wai Kit NgBlackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K.ORCID https://orcid.org/0000-0002-0559-9820
T V RazimanBlackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K.ORCID https://orcid.org/0000-0002-7085-6934
Dhruv SaxenaBlackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K.
Korneel MolkensPhysics and Chemistry of Nanostructures (PCN), Ghent University, Krijgslaan 281-S3, Gent B9000, Belgium.
Ivo TanghePhysics and Chemistry of Nanostructures (PCN), Ghent University, Krijgslaan 281-S3, Gent B9000, Belgium.ORCID https://orcid.org/0000-0001-9241-5585
Zhenghe XuanBlackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K.
Pieter GeiregatPhysics and Chemistry of Nanostructures (PCN), Ghent University, Krijgslaan 281-S3, Gent B9000, Belgium.ORCID https://orcid.org/0000-0001-7217-8738
Dries Van ThourhoutCenter for Nano- and Biophotonics, Ghent University, Ghent 9052, Belgium.ORCID https://orcid.org/0000-0003-0111-431X
Mauricio BarahonaDepartment of Mathematics, Imperial College London, London SW7 2AZ, U.K.ORCID https://orcid.org/0000-0002-1089-5675
Riccardo SapienzaBlackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K.ORCID https://orcid.org/0000-0002-4208-0374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visualizing the behavior of complex laser systems is an outstanding challenge, especially in the presence of nonlinear mode interactions. Hidden features, such as the gain distributions and spatial localization of lasing modes, often cannot be revealed experimentally, yet they are crucial to determining the laser action. Here, we introduce an experimental lasing spectroscopy method that visualizes the gain profiles of the modes in a complex, disorderly coupled microring array laser using an artificial neural network. The spatial gain distributions of the lasing modes are reconstructed without prior knowledge of the laser device. We further extend the neural network to a tandem neural network that can control the laser emission by matching the modal gain/loss profile to selectively enhance the targeted modes. This mode visualization method offers a new approach to extracting hidden spatial mode features from photonic structures, which could improve our understanding and control of complex photonic systems.

Indexed as

complex laser systemslasing controlmode visualizationmultilayer perceptronquantum dots

Identifiers

PMID41112318
PMCPMC12532367

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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.