Evidence map›Paper›PMID 30577444›Full record

ReviewNanomaterials (Basel, Switzerland)2018

Boosting the Efficiency of Photoelectrolysis by the Addition of Non-Noble Plasmonic Metals: Al & Cu.

Qianfan Jiang, Chengyu Ji, D Jason Riley, Fang Xie

Open access · goldAbstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2018. 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
29.6field-weighted citation impact, top 1% 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, 469 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Qianfan JiangDepartment of Materials and London Centre for Nanotechnology, Imperial College London, London SW7 2AZ, UK. q.jiang16@imperial.ac.uk.
Chengyu JiDepartment of Materials and London Centre for Nanotechnology, Imperial College London, London SW7 2AZ, UK. c.ji18@imperial.ac.uk.
D Jason RileyDepartment of Materials and London Centre for Nanotechnology, Imperial College London, London SW7 2AZ, UK. jason.riley@imperial.ac.uk.ORCID 0000-0001-8512-0148
Fang XieDepartment of Materials and London Centre for Nanotechnology, Imperial College London, London SW7 2AZ, UK. f.xie@imperial.ac.uk.ORCID 0000-0001-6415-797X
London Centre for Nanotechnology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solar water splitting by semiconductor based photoanodes and photocathodes is one of the most promising strategies to convert solar energy to chemical energy to meet the high demand for energy consumption in modern society. However, the state-of-the-art efficiency is too low to fulfill the demand. To overcome this challenge and thus enable the industrial realization of a solar water splitting device, different approaches have been taken to enhance the overall device efficiency, one of which is the incorporation of plasmonic nanostructures. Photoanodes and photocathodes coupled to the optimized plasmonic nanostructures, matching the absorption wavelength of the semiconductors, can exhibit a significantly increased efficiency. So far, gold and silver have been extensively explored to plasmonically enhance water splitting efficiency, with disadvantages of high cost and low enhancement. Instead, non-noble plasmonic metals such as aluminum and copper, are earth-abundant and low cost. In this article, we review their potentials in photoelectrolysis, towards scalable applications.

Indexed as

aluminumcopperphotoelectrolysisplasmonics

Identifiers

PMID30577444
PMCPMC6359664
OpenAlexW2903620406

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.