Evidence map›Paper›PMID 39633766›Full record

ArticleNanophotonics (Berlin, Germany)2023

Nano-shaping of chiral photons.

Yuji Sunaba, Masaki Ide, Ryo Takei, Kyosuke Sakai, Christophe Pin, Keiji Sasaki

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2023. 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

6 authors.

Yuji SunabaResearch Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-5935-9355
Masaki IdeResearch Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan.
Ryo TakeiResearch Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan.
Kyosuke SakaiResearch Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan.
Christophe PinResearch Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-5088-5711
Keiji SasakiResearch Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido, Japan.ORCID https://orcid.org/0000-0003-2340-9477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Localized surface plasmon polaritons can confine the optical field to a single-nanometer-scale area, strongly enhancing the interaction between photons and molecules. Theoretically, the ultimate enhancement might be achieved by reducing the "photon size" to the molecular extinction cross-section. In addition, desired control of electronic transitions in molecules can be realized if the "photon shape" can be manipulated on a single-nanometer scale. By matching the photon shape with that of the molecular electron wavefunction, optically forbidden transitions can be induced efficiently and selectively, enabling various unconventional photoreactions. Here, we demonstrate the possibility of forming single-nanometer-scale, highly intense fields of optical vortices using designed plasmonic nanostructures. The orbital and spin angular momenta provided by a Laguerre-Gaussian beam are selectively transferred to the localized plasmons of a metal multimer structure and then confined into a nanogap. This plasmonic nano-vortex field is expected to fit the molecular electron orbital shape and spin with the corresponding angular momenta.

Indexed as

Laguerre–Gaussian modelocalized surface plasmonnano-vortexoptically forbidden electronic transitionplasmonic nanoantenna

Identifiers

PMID39633766
PMCPMC11502058

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.