Advancing electrochemical N<sub>2</sub> reduction: interfacial electrolyte effects and <i>operando</i> computational approaches

This review highlights electrolyte engineering's pivotal role in enhancing eNRR efficiency for sustainable ammonia synthesis, focusing on strategies like cations and solvent tuning, with operando computational techniques aiding in overcoming challenges and optimizing performance.

Authors

Institutions

Publication Details

Journal
EES Catalysis
Published
2024-11-19
DOI
https://doi.org/10.1039/d4ey00197d
Citations
5
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing electrochemical N2 reduction: interfacial electrolyte effects and operando computational approaches

Lin Jiang, Yan Jiao, Xiaowan Bai, Kenneth Davey et al.
5 citations
EES Catalysis
Ammonia Synthesis and Nitrogen Reduction
0.53
article

Advancing electrochemical N2 reduction: interfacial electrolyte effects and operando computational approaches

Lin Jiang, Yan Jiao, Xiaowan Bai, Kenneth Davey, Xing Zhi
article en
5 citations

Abstract

This review highlights electrolyte engineering's pivotal role in enhancing eNRR efficiency for sustainable ammonia synthesis, focusing on strategies like cations and solvent tuning, with operando computational techniques aiding in overcoming challenges and optimizing performance.

EES CatalysisVol. 3(1)
Guangdong University of Technology (CN), The University of Adelaide (AU)
Openalex Percentile: Top 42%
Ammonia Synthesis and Nitrogen Reduction
0.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.