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Cited by 170

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Electrochemical ammonia synthesis through N2 and H2O under ambient conditions: Theory, practices, and challenges for catalysts and electrolytes

Open access
Xu, Hui, Ithisuphalap, Kemakorn, Li, Yi, Mukherjee, Shreya, Lattimer, Judith, Soloveichik, Grigorii, Wu, Gang·2020·Nano Energy

Abstract

Abstract Due to its high energy density, carbon-free character, and the convenience for storage and transportation, ammonia (NH3) is considered as an energy vector, capable of being used for energy storage and directly as a fuel. Increasing demands for ammonia have necessitated the development of alternative synthesis approaches as the backup technology to the energy-intensive Haber-Bosch process. Among others, the electrosynthesis of ammonia (ESA) technology offers a promising approach to produce NH3 via a cathodic nitrogen reduction reaction (NRR). However, current ESA technologies desperately suffer from insufficient production rates (

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Metadata

Authors
Xu, H., Ithisuphalap, K., Li, Y., Mukherjee, S., Lattimer, J., Soloveichik, G., & Wu, G.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2020-03
Volume
69
Pages
104469
ISSN
2211-2855 (ISSN-L)
OpenAlex
W2999990368
Cited by
170
References
4
FWCI
6.28
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Electrochemical ammonia synthesis through N2 and H2O under ambient conditions: Theory, practices, and challenges for catalysts and electrolytes. https://app.cochat.ai/papers/10.1016/j.nanoen.2020.104469
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Xu, H., Ithisuphalap, K., Li, Y., Mukherjee, S., Lattimer, J., Soloveichik, G., & Wu, G. (2020). Electrochemical ammonia synthesis through N2 and H2O under ambient conditions: Theory, practices, and challenges for catalysts and electrolytes. Nano Energy. https://doi.org/10.1016/j.nanoen.2020.104469

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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.