Evidence map›Paper›PMID 33633411›Full record

ArticleCarbon2021

Controlling pore structure and conductivity in graphene nanosheet films through partial thermal exfoliation.

Yongbeom Kwon, Muchun Liu, Cintia Castilho, Zachary Saleeba, Robert Hurt, Indrek Külaots

Abstract read
In one paragraph

Article in Carbon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Yongbeom KwonSchool of Engineering, Brown University, 182 Hope St., Providence, RI, USA, 02912.
Muchun LiuSchool of Engineering, Brown University, 182 Hope St., Providence, RI, USA, 02912.
Cintia CastilhoSchool of Engineering, Brown University, 182 Hope St., Providence, RI, USA, 02912.
Zachary SaleebaSchool of Engineering, Brown University, 182 Hope St., Providence, RI, USA, 02912.
Robert HurtSchool of Engineering, Brown University, 182 Hope St., Providence, RI, USA, 02912.
Indrek KülaotsSchool of Engineering, Brown University, 182 Hope St., Providence, RI, USA, 02912.

Funding

Vapor Pressures and Thermodynamic Properties of Complex Organic MixturesP42ES013660 · NIEHS · BROWN UNIVERSITY · PI BOEKELHEIDE, KIM · 2005 to 2020
$37.7M
NIEHS NIH HHS P42 ES013660
6 · The paper itself

Abstract

Thermal exfoliation is an efficient and scalable method for the production of graphene nanosheets or nanoplatelets, which are typically re-assembled or blended to form new macroscopic "graphene-based materials". Thermal exfoliation can be applied to these macroscopic graphene-based materials after casting to create internal porosity, but this process variant has not been widely studied, and can easily lead to destruction of the physical form of the original cast body. Here we explore how the partial thermal exfoliation of graphene oxide (GO) multilayer nanosheet films can be used to control pore structure and electrical conductivity of planar, textured, and confined GO films. The GO films are shown to exfoliate explosively when the instrument-set heating rates are 100 K/min and above leading to complete destruction of the film geometry. Textured films with engineered micro-wrinkling and crumpling show similar thermal behavior to planar films. Here, we also demonstrate a novel method to produce fairly large size intact rGO films of high electrical conductivity and microporosity based on confinement. Sandwiching GO precursor films between inert plates during partial exfoliation at 250°C produces high conductivity and porosity material in the form of a flexible film that preserves the macroscopic structure of the original cast body.

Indexed as

Partial thermal exfoliationPlanar, textured, and confined graphene nanosheet films

Identifiers

PMID33633411
PMCPMC7901814

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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.