Evidence map›Paper›PMID 37310213›Full record

ArticleACS applied materials & interfaces2023

Investigating the Potential of Electroless Nickel Plating for Fabricating Ultra-Porous Metal-Based Lattice Structures Using PolyHIPE Templates.

Nihan Sengokmen-Ozsoz, R Boston, Frederik Claeyssens

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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, 17 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Nihan Sengokmen-OzsozKroto Research Institute, Department of Materials Science and Engineering, The University of Sheffield, Sheffield S3 7HQ, United Kingdom.ORCID 0000-0002-2000-7408
R BostonDepartment of Materials Science and Engineering, The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom.ORCID 0000-0002-2131-2236
Frederik ClaeyssensKroto Research Institute, Department of Materials Science and Engineering, The University of Sheffield, Sheffield S3 7HQ, United Kingdom.ORCID 0000-0002-1030-939X
University of Sheffield · GB

Funding

Medical Research Council MR/L012669/1
6 · The paper itself

Abstract

The use of polymerized high internal phase emulsions (polyHIPEs) as templates for electroless nickel plating is a promising method for producing ultra-porous metallic lattice structures with consistent wall thickness. These structures have desirable properties such as low density, high specific strength, resilience, and absorbency, making them suitable for various applications including battery electrodes, catalyst supports, and acoustic or vibration damping. This study aimed to optimize and investigate the electroless nickel plating process on polyHIPEs. Initially, a surfactant (Hypermer)-stabilized water-in-oil emulsion based on 2-ethylhexyl-acrylate and isobornyl-acrylate was used as a 3D printing resin to create polyHIPE structures. Then, the electroless nickel plating process was optimized using polyHIPE discs. The study also examined the effects of air, argon, and reducing atmospheres during the heating process to remove the polyHIPE template using metallized 3D-printed polyHIPE lattice structures. The findings indicated that different atmospheres led to the formation of distinct compounds. While nickel-coated polyHIPEs were fully oxidized in an air atmosphere, nickel phosphide (Ni

Indexed as

3D printingelectroless nickel platingemulsion templatingpolyHIPEstereolithography

Identifiers

PMID37310213
PMCPMC10316321
OpenAlexW4380421937

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.