Evidence map›Paper›PMID 30197998›Full record

ArticleACS omega2018

Reduced Graphene Oxide as a Monolithic Multifunctional Conductive Binder for Activated Carbon Supercapacitors.

Dona T L Galhena, Bernhard C Bayer, Jannik C Meyer, Stephan Hofmann, Gehan A J Amaratunga

Abstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Two-Dimensional MnACS omega · 2019
    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.

Dona T L GalhenaElectrical Engineering Division, Department of Engineering, University of Cambridge, 9 J. J. Thomson Avenue, CB3 0FA Cambridge, U.K.
Bernhard C BayerFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Jannik C MeyerFaculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria.
Stephan HofmannElectrical Engineering Division, Department of Engineering, University of Cambridge, 9 J. J. Thomson Avenue, CB3 0FA Cambridge, U.K.
Gehan A J AmaratungaElectrical Engineering Division, Department of Engineering, University of Cambridge, 9 J. J. Thomson Avenue, CB3 0FA Cambridge, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using reduced graphene oxide (r-GO) as a multifunctional conductive binder, a simple, cost-effective, and environmentally friendly approach is developed to fabricate activated carbon/reduced graphene oxide (AC/r-GO) composite electrodes for supercapacitors with outstanding performance. In such a composite, r-GO provides several much needed critical functions: r-GO not only serves as the binder material improving the AC particle/particle cohesion and electrode-film/substrate adhesion but also improves the electrical conductivity of the composite and provides additional surfaces for ion adsorption. Furthermore, during electrode fabrication, initial GO precursor functions as an effective dispersant for AC, resulting in a stable electrode material slurry. Employing characterization by advanced microscopy techniques, we show that AC and r-GO assemble into an interconnected network structure, resulting in a composite with high specific capacitance, excellent rate capability, and long cycling life stability. Such high-performance electrodes coupled with their relatively simple, scalable, and low-cost fabrication process thereby provide a clear pathway toward large-scale implementation of supercapacitors.

Identifiers

PMID30197998
PMCPMC6120737

What OpenQuestion holds

Textmetadata
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.