Evidence map›Paper›PMID 40124940›Full record

ArticleACS photonics2025

Inverse Design of Unitary Transmission Matrices in Silicon Photonic Coupled Waveguide Arrays Using a Neural Adjoint Model.

Thomas W Radford, Peter R Wiecha, Alberto Politi, Ioannis Zeimpekis, Otto L Muskens

Abstract read
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Thomas W RadfordSchool of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, United Kingdom.ORCID https://orcid.org/0000-0002-3410-3206
Peter R WiechaLAAS, Université de Toulouse, CNRS, 31031, Toulouse, France.ORCID https://orcid.org/0000-0002-4571-0116
Alberto PolitiSchool of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, United Kingdom.ORCID https://orcid.org/0000-0002-3668-9474
Ioannis ZeimpekisSchool of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, United Kingdom.
Otto L MuskensSchool of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, United Kingdom.ORCID https://orcid.org/0000-0003-0693-5504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of low-loss reconfigurable integrated optical devices enables further research into technologies including photonic signal processing, analogue quantum computing, and optical neural networks. Here, we introduce digital patterning of coupled waveguide arrays as a platform capable of implementing unitary matrix operations. Determining the required device geometry for a specific optical output is computationally challenging and requires a robust and versatile inverse design protocol. In this work we present an approach using high speed neural network surrogate-based gradient optimization, capable of predicting patterns of refractive index perturbations based on switching of the ultralow loss chalcogenide phase change material, antimony triselinide (Sb

Identifiers

PMID40124940
PMCPMC11926960

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.