Designing molecular and two-dimensional metalloporphyrin catalysts for the electrochemical CO <sub>2</sub> reduction reaction

A computational study explores metalloporphyrins (M–PORs) as catalysts for electrochemical CO 2 reduction. We integrated 1D M–PORs into 2D frameworks, enhancing selectivity and stability, providing guidelines for efficient electrocatalyst design.

Authors

Institutions

Publication Details

Journal
Catalysis Science & Technology
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cy00156k
Citations
2
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing molecular and two-dimensional metalloporphyrin catalysts for the electrochemical CO 2 reduction reaction

Amira Uddin, Rachel Crespo‐Otero, Devis Di Tommaso
2 citations
Catalysis Science & Technology
CO2 Reduction Techniques and Catalysts
0.73
article

Designing molecular and two-dimensional metalloporphyrin catalysts for the electrochemical CO 2 reduction reaction

Amira Uddin, Rachel Crespo‐Otero, Devis Di Tommaso
article en
2 citations

Abstract

A computational study explores metalloporphyrins (M–PORs) as catalysts for electrochemical CO 2 reduction. We integrated 1D M–PORs into 2D frameworks, enhancing selectivity and stability, providing guidelines for efficient electrocatalyst design.

Catalysis Science & TechnologyVol. 15(10)
Queen Mary University of London (GB), University College London (GB)
Queen Mary University of London, Leverhulme Trust, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 33%
CO2 Reduction Techniques and Catalysts
0.73
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.