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Cited by 158

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

One-step synthesis of ultra-high surface area nanoporous carbons and their application for electrochemical energy storage

Open access
Sevilla, Marta, Ferrero, Guillermo A., Diez, Noel, Fuertes, Antonio B.·2018·Carbon

Abstract

Abstract A simple one-pot route for the synthesis of highly porous N-doped carbons with an excellent performance as supercapacitor electrodes is presented. The synthesis scheme is based on the carbonization of an organic salt, potassium citrate, at a temperature in the 700–900 °C range, in the presence of urea. Such porous carbons combine ultra-high BET surface areas of up to 3350 m2 g−1, a large pore volume of up to 2.65 cm3 g−1, a porosity which can be regulated to have a micropore or micro-mesopore network and a notable nitrogen content in the 0.5–4.5 wt % range, two essential properties for their use in electrochemical devices. The presence of urea in the synthesis mixture is the key to pore development in these synthesized carbons. The applicability of this type of carbon as supercapacitor electrode material with an ionic liquid as electrolyte has also been demonstrated in this study.

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Crossref · 10.1016/j.carbon.2018.02.021

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Metadata

Authors
Sevilla, M., Ferrero, G. A., Diez, N., & Fuertes, A. B.
Venue
Carbon
Publisher
Elsevier BV
Published
2018-05
Volume
131
Pages
193-200
ISSN
0008-6223 (ISSN-L)
OpenAlex
W2793226203
Cited by
158
References
3
FWCI
5.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: One-step synthesis of ultra-high surface area nanoporous carbons and their application for electrochemical energy storage. https://app.cochat.ai/papers/10.1016/j.carbon.2018.02.021
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Sevilla, M., Ferrero, G. A., Diez, N., & Fuertes, A. B. (2018). One-step synthesis of ultra-high surface area nanoporous carbons and their application for electrochemical energy storage. Carbon. https://doi.org/10.1016/j.carbon.2018.02.021

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

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