Evidence map›Paper›PMID 39677593›Full record

ArticleNanophotonics (Berlin, Germany)2023

Deep learning accelerated discovery of photonic power dividers.

Gandhi Alagappan, Ching Eng Png

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. 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

2 authors.

Gandhi AlagappanAgency for Science, Technology, and Research (A-STAR), Institute of High-Performance Computing, Fusionopolis, 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore.
Ching Eng PngAgency for Science, Technology, and Research (A-STAR), Institute of High-Performance Computing, Fusionopolis, 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article applies deep learning-accelerated inverse design algorithms and discovers a spectrum of photonic power dividers with exceptional performance metrics despite the simplicity in the design geometry. The deep learning models exhibit high precisions on the order of 10

Indexed as

computational photonicsdeep learningphotonics

Identifiers

PMID39677593
PMCPMC11636457

What OpenQuestion holds

Textmetadata
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.