The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A single-site iron catalyst with preoccupied active centers that achieves selective ammonia electrosynthesis from nitrate
Abstract
Isolated Fe sites achieve enhanced intrinsic activity for nitrate electroreduction to ammonia with ∼100% selectivity, which effectively inhibit water dissociation through a nitrate-preoccupation mechanism.
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Cites
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Self-citationEnhanced Nitrate-to-Ammonia Activity on Copper–Nickel Alloys via Tuning of Intermediate Adsorption
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Theoretical Insights into Superior Nitrate Reduction to Ammonia Performance of Copper Catalysts
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Pulsed Nitrate-to-Ammonia Electroreduction Facilitated by Tandem Catalysis of Nitrite Intermediates
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Self-citationDefect engineering of two-dimensional materials for advanced energy conversion and storage
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Electrocatalytic Reduction of Nitrate to Ammonia on Low-Cost Ultrathin CoOx Nanosheets
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Self-citationAmbient Electrosynthesis of Urea with Nitrate and Carbon Dioxide over Iron‐Based Dual‐Sites
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Electrified water treatment: fundamentals and roles of electrode materials
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Self-citationAdvances in iron-based electrocatalysts for nitrate reduction
Yuan, S., Xue, Y., Ma, R., Ma, Q., Chen, Y., & Fan, J. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.161444 · Cited by 117
Metadata
- Authors
- Li, P., Jin, Z., Fang, Z., & Yu, G.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2021
- Volume
- 14
- Issue
- 6
- Pages
- 3522-3531
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W3154334064
- Cited by
- 532
- References
- 48
- FWCI
- 17.09
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
