Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 384

The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.

Carbon-based functional nanomaterials: Preparation, properties and applications

Li, Zihao, Wang, Ling, Li, Yu, Feng, Yiyu, Feng, Wei·2019·Composites Science and Technology
DOI 10.1016/j.compscitech.2019.04.028
Open this paper in CoChat — free account

Abstract

Abstract Carbon-based functional nanomaterials have attracted remarkable attention from the scientific community for their unique combinations of advantageous chemical and physical properties, such as superb electrical conductivity, excellent heat conductivity, chemical stability, advanced optical properties, and high mechanical strength. Our research group has been very actively involved in the study and further development of carbon-based functional nanomaterials and their potential applications for many years. In this feature article, we introduce our recent endeavors in the development of carbon-based nanomaterials with superior functionalities for potential application in diverse fields including solar thermal fuels, advanced thermal management, and electrochemical energy storage. The key design concepts of these advanced functional nanomaterials are highlighted, specific synthesis strategies are discussed, their potential usage in devices and applications is emphasized, and background information is succinctly furnished wherever warranted. We begin with an overview on the chemistry of carbon nanomaterials, in which the synthesis and chemical functionalization of carbon nanotubes and graphene are introduced, respectively. We then showcase the design, fabrication and properties of different functional carbon nanomaterials for diverse applications, including photoactive azobenzene/carbon nanomaterials for solar thermal fuels and light-driven carbon-based actuators, advanced carbon nanomaterials with directional thermal conductivity, and carbon-based electrodes for electrochemical energy storage. Finally, we conclude by briefly summarizing the advantages of the application of functional carbon-based nanomaterials in various fields, and list challenges that remain to be solved and potential that remains to be tapped.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.compscitech.2019.04.028

Cites

161 of 161 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 384

Metadata

Authors
Li, Z., Wang, L., Li, Y., Feng, Y., & Feng, W.
Venue
Composites Science and Technology
Publisher
Elsevier BV
Published
2019-07
Volume
179
Pages
10-40
ISSN
0266-3538 (ISSN-L)
DOI
10.1016/j.compscitech.2019.04.028
OpenAlex
W2942323812
Cited by
384
References
161
FWCI
14.07
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.