Electrocatalytic reduction of nitrogen to ammonia on metal nanoclusters: insights and trends from d- and p-block metals

The electrocatalytic reduction of nitrogen (NRR) to ammonia on metal nanoclusters represents a transformative approach to sustainable ammonia synthesis, offering a greener alternative to the highly energy-intensive Haber-Bosch process, which is a significant contributor to global CO<sub>2</sub> emissions. By harnessing renewable electricity under ambient conditions, electrocatalytic NRR could dramatically lower the carbon footprint and enable decentralized, on-demand ammonia production. However, the inherent stability of N<sub>2</sub> presents a major obstacle to its efficient activation. Metal nanoclusters, with their distinctive electronic and structural characteristics, have emerged as highly promising catalysts to overcome this challenge. This study systematically investigates the NRR catalytic performance of a broad spectrum of d-block and p-block metal nanoclusters. Through the use of Genetic Algorithms (GA) for global minimum structure optimization and comprehensive mechanistic pathway analysis, we uncover key trends in N<sub>2</sub> activation, NRR reaction pathways, selectivity, and efficiency across various nanoclusters. Our findings provide critical insights into the design of advanced NRR electrocatalysts, paving the way for more sustainable and efficient technologies for ammonia production.

Authors

Institutions

Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cp00046g
Citations
7
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
2.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrocatalytic reduction of nitrogen to ammonia on metal nanoclusters: insights and trends from d- and p-block metals

Rajesh K. Raju
7 citations
Physical Chemistry Chemical Physics
Ammonia Synthesis and Nitrogen Reduction
2.72
article

Electrocatalytic reduction of nitrogen to ammonia on metal nanoclusters: insights and trends from d- and p-block metals

Rajesh K. Raju
article en
7 citations

Abstract

The electrocatalytic reduction of nitrogen (NRR) to ammonia on metal nanoclusters represents a transformative approach to sustainable ammonia synthesis, offering a greener alternative to the highly energy-intensive Haber-Bosch process, which is a significant contributor to global CO<sub>2</sub> emissions. By harnessing renewable electricity under ambient conditions, electrocatalytic NRR could dramatically lower the carbon footprint and enable decentralized, on-demand ammonia production. However, the inherent stability of N<sub>2</sub> presents a major obstacle to its efficient activation. Metal nanoclusters, with their distinctive electronic and structural characteristics, have emerged as highly promising catalysts to overcome this challenge. This study systematically investigates the NRR catalytic performance of a broad spectrum of d-block and p-block metal nanoclusters. Through the use of Genetic Algorithms (GA) for global minimum structure optimization and comprehensive mechanistic pathway analysis, we uncover key trends in N<sub>2</sub> activation, NRR reaction pathways, selectivity, and efficiency across various nanoclusters. Our findings provide critical insights into the design of advanced NRR electrocatalysts, paving the way for more sustainable and efficient technologies for ammonia production.

Physical Chemistry Chemical PhysicsVol. 27(15)
National Research Council Canada (CA), University of Birmingham (GB)
Responsible consumption and production
Openalex Percentile: Top 10%
Ammonia Synthesis and Nitrogen Reduction
2.72
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.