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Cited by 223

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Controlled Carbon Nitride Growth on Surfaces for Hydrogen Evolution Electrodes

Shalom, Menny, Gimenez, Sixto, Schipper, Florian, Herraiz‐Cardona, Isaac, Bisquert, Juan, Antonietti, Markus·2014·Angewandte Chemie International Edition

Abstract

Efficient and low‐cost electrocatalysts for the hydrogen evolution reaction are highly desired for future renewable energy systems. Described herein is the reduction of water to hydrogen using a metal‐free carbon nitride electrocatalyst which operates in neutral and alkaline environments. An efficient, easy, and general method for growing ordered carbon nitride on different electrodes was developed. The metal‐free catalyst demonstrates low overpotential values, which are comparable to those of non‐noble metals, with reasonable current densities. The facile deposition method enables the fabrication of many electronic and photoelectronic devices based on carbon nitride for renewable energy applications.

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Crossref · 10.1002/anie.201309415

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Metadata

Authors
Shalom, M., Gimenez, S., Schipper, F., Herraiz‐Cardona, I., Bisquert, J., & Antonietti, M.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2014-02-26
Volume
53
Issue
14
Pages
3654-3658
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2128700994
Cited by
223
References
5
FWCI
10.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Controlled Carbon Nitride Growth on Surfaces for Hydrogen Evolution Electrodes. https://app.cochat.ai/papers/10.1002/anie.201309415
The paper
Shalom, M., Gimenez, S., Schipper, F., Herraiz‐Cardona, I., Bisquert, J., & Antonietti, M. (2014). Controlled Carbon Nitride Growth on Surfaces for Hydrogen Evolution Electrodes. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201309415

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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.