Evidence map›Paper›PMID 36323762›Full record

ArticleScientific reports2022

Aerosol jet printing polymer dispersed liquid crystals on highly curved optical surfaces and edges.

Matthew Davies, Matthew J Hobbs, James Nohl, Benedict Davies, Cornelia Rodenburg, Jon R Willmott

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Matthew DaviesSensor Systems Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK. matt.davies@sheffield.ac.uk.
Matthew J HobbsSensor Systems Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.
James NohlDepartment of Materials Science and Engineering, University of Sheffield, Sheffield, UK.
Benedict DaviesSensor Systems Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.
Cornelia RodenburgDepartment of Materials Science and Engineering, University of Sheffield, Sheffield, UK.
Jon R WillmottSensor Systems Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK.

Funding

Engineering and Physical Sciences Research Council EP/M009106/1Engineering and Physical Sciences Research Council EP/V012126/1
6 · The paper itself

Abstract

We demonstrate a new technique for producing Polymer Dispersed Liquid Crystal (PDLC) devices utilising aerosol jet printing (AJP). PDLCs require two substrates to act as scaffold for the Indium Tin Oxide electrodes, which restricts the device geometries. Our approach precludes the requirement for the second substrate by printing the electrode directly onto the surface of the PDLC, which is also printed. The process has the potential to be precursory to the implementation of non-contact printing techniques for a variety of liquid crystal-based devices on non-planar substrates. We report the demonstration of direct deposition of PDLC films onto non-planar optical surfaces, including a functional device printed over the 90° edge of a prism. Scanning Electron Microscopy is used to inspect surface features of the polymer electrodes and the liquid crystal domains in the host polymer. The minimum relaxation time of the PDLC was measured at 1.3 ms with an 800 Hz, 90 V, peak-to-peak (Vpp) applied AC field. Cross-polarised transmission is reduced by up to a factor of 3.9. A transparent/scattering contrast ratio of 1.4 is reported between 0 and 140 V at 100 Hz.

Identifiers

PMID36323762
PMCPMC9630532

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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.