Graphene aerogels for efficient energy storage and conversion

Mao, Jiajun; Iocozzia, James; Huang, Jianying; Meng, Kai; Lai, Yuekun; Lin, Zhiqun

doi:10.1039/c7ee03031b

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Graphene aerogels for efficient energy storage and conversion

Mao, Jiajun, Iocozzia, James, Huang, Jianying, Meng, Kai, Lai, Yuekun, Lin, Zhiqun·2018·Energy & Environmental Science

DOI 10.1039/c7ee03031b

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Abstract

Concerns over air quality reduction and energy crisis resulting from rapid consumption of limited fossil fuels have driven the development of clean and renewable energy sources.

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Authors: Mao, J., Iocozzia, J., Huang, J., Meng, K., Lai, Y., & Lin, Z.
Venue: Energy & Environmental Science
Publisher: Royal Society of Chemistry (RSC)
Published: 2018
Volume: 11
Issue: 4
Pages: 772-799
ISSN: 1754-5692 (ISSN-L)
1754-5706
DOI: 10.1039/c7ee03031b
OpenAlex: W2782168734
Cited by: 868
References: 22
FWCI: 23.13
Type: journal article
Language: en
Open access: closed
Licence: rsc.li/journals-terms-of-use (am, 372 d)
Funders: National Natural Science Foundation of China (21501127 and 51502185)
Natural Science Foundation of Jiangsu Province (BK20140400)

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 ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page: CoChat. (2026). Citation check: Graphene aerogels for efficient energy storage and conversion. https://app.cochat.ai/papers/10.1039/c7ee03031b
The paper: Mao, J., Iocozzia, J., Huang, J., Meng, K., Lai, Y., & Lin, Z. (2018). Graphene aerogels for efficient energy storage and conversion. Energy & Environmental Science. https://doi.org/10.1039/c7ee03031b

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.

Graphene aerogels for efficient energy storage and conversion

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks

How to cite

Data sources