Evidence map›Paper›PMID 41803157›Full record

ArticleNature communications2026

Massive-scale spatial multiplexing of multimode VCSELs with a 3D-printed photonic lantern.

Yoav Dana, Ksenia Shukhin, Yehudit Garcia, Aleksei Kukin, Baruch Kliot, Michaela Peer, Ran Vered, Ariel Roizman, Dan M Marom

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
–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

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

9 authors.

Yoav DanaInstitute of Applied Physics, Hebrew University of Jerusalem, Jerusalem, Israel. Yoav.dana@mail.huji.ac.il.ORCID http://orcid.org/0009-0006-0772-146X
Ksenia ShukhinInstitute of Applied Physics, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0002-3272-7461
Yehudit GarciaInstitute of Applied Physics, Hebrew University of Jerusalem, Jerusalem, Israel.
Aleksei KukinInstitute of Applied Physics, Hebrew University of Jerusalem, Jerusalem, Israel.
Baruch KliotCivan Lasers, Jerusalem, Israel.
Michaela PeerCivan Lasers, Jerusalem, Israel.
Ran VeredCivan Lasers, Jerusalem, Israel.
Ariel RoizmanCivan Lasers, Jerusalem, Israel.
Dan M MaromInstitute of Applied Physics, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0002-8740-5419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incoherent beam combining is widely used in high-power laser systems due to its simplicity, stability, and scalability, as it avoids frequency, phase, and polarization locking. However, efficiently coupling light from large multimode VCSEL arrays into multimode fibers with matched modal capacity, while preserving brightness, remains challenging. This work presents a 3D-printed microscale photonic lantern (PL) for efficient incoherent combining of multimode sources, enabling direct multiplexing of many few-mode VCSELs into MMFs with matched modal capacity. Unlike conventional PLs designed for single-mode inputs, the proposed PL supports few-mode sources. We demonstrate PLs multiplexing 7, 19, and 37 six-mode VCSELs, fabricated directly on the laser apertures, achieving coupling losses as low as -0.6 dB(19-MM PL) and -0.8 dB (37-MM PL) into a 50 μm, NA = 0.22 step-index MMF. Comprehensive experiments demonstrate efficient power delivery, preserved brightness, and relaxed alignment, highlighting 3D-printed PLs as compact and scalable solutions for high-power laser systems and optical communications.

Identifiers

PMID41803157
PMCPMC12976047

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.