<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Efficient CO2 to CO electrolysis on solid Ni–N–C catalysts at industrial current densities

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2019 Denmark Publisher:Royal Society of Chemistry (RSC)Journal:Energy & Environmental Science, volume 12, pages 640-647 (issn: 1754-5692, eissn: 1754-5706,

Authors: Tim Möller; Wen Ju; Alexander Bagger; Xingli Wang; Fang Luo; Trung Ngo Thanh; Ana Sofia Varela; +2 Authors

doi: 10.1039/c8ee02662a

Efficient CO2 to CO electrolysis on solid Ni–N–C catalysts at industrial current densities

- Summary
- Metrics

Abstract

We demonstrate the direct electrochemical conversion of CO2 to CO using solid state Ni–N–C carbon catalysts characterized by a coordinative molecular Ni–Nx active moiety at industrial current densities of up to 700 mA cm−2 with faradaic efficiencies superior to those of the state-of-the-art AgOx electrocatalysts.

Country

Denmark

Related Organizations

National Autonomous University of Mexico
Mexico
Chinese Academy of Sciences
China (People's Republic of)
Technical University of Berlin
Germany
University of Copenhagen
Denmark
University of Copenhagen
Denmark

View all View all

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	356
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 0.1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 0.1%