Influence of composition, thickness, and 2D layer coupling on electrochemical CO2 reduction

The electrochemical reduction of CO2 to value-added carbon products is hindered by low Faradaic efficiency and competing hydrogen evolution. Here, we address this challenge by investigating how metal and C–N composition, layer thickness, and 2D heterostructure coupling influence CO2 activation and selectivity in emerging 2D materials. A suite of Ti2NTx, Ti4N3Tx, Ti3CNTx, V2NTx, V2CTx, MoS2/Ti2NTₓ, and MoS2/Ti4N3Tx were synthesized via a top-down etching method and evaluated for CO2RR alongside hydrogen evolution. Ti-based nitride MXenes showed minimal CO2RR activity and strongly favored HER, with layer thickness and MoS₂ coupling showing little effect on CO2RR product distribution. Incorporating both carbon and nitrogen in Ti3CNTx moderately improved performance, yielding FE of ~25–30% for CO and ~8–10% for HCOOH. A more substantial enhancement was achieved by altering the metal center: V2NTx reached ~50% CO and ~18% HCOOH selectivity while suppressing HER at moderate current densities and maintaining stability over extended operation. DFT calculations reveal that Ti-based MXenes favor HER due to facile water dissociation and strong Ti–O interactions, whereas V-based MXenes stabilize HCOO* intermediates via termination-mediated hydrogen bonding, lowering the CO2RR overpotential. These results elucidate composition–structure–activity relationships for rational design of selective 2D electrocatalysts.

Institutions

Publication Details

Journal
npj 2D Materials and Applications
Published
2026-03-24
DOI
https://doi.org/10.1038/s41699-026-00685-2
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of composition, thickness, and 2D layer coupling on electrochemical CO2 reduction

npj 2D Materials and Applications
CO2 Reduction Techniques and Catalysts
article

Influence of composition, thickness, and 2D layer coupling on electrochemical CO2 reduction

article en

Abstract

The electrochemical reduction of CO2 to value-added carbon products is hindered by low Faradaic efficiency and competing hydrogen evolution. Here, we address this challenge by investigating how metal and C–N composition, layer thickness, and 2D heterostructure coupling influence CO2 activation and selectivity in emerging 2D materials. A suite of Ti2NTx, Ti4N3Tx, Ti3CNTx, V2NTx, V2CTx, MoS2/Ti2NTₓ, and MoS2/Ti4N3Tx were synthesized via a top-down etching method and evaluated for CO2RR alongside hydrogen evolution. Ti-based nitride MXenes showed minimal CO2RR activity and strongly favored HER, with layer thickness and MoS₂ coupling showing little effect on CO2RR product distribution. Incorporating both carbon and nitrogen in Ti3CNTx moderately improved performance, yielding FE of ~25–30% for CO and ~8–10% for HCOOH. A more substantial enhancement was achieved by altering the metal center: V2NTx reached ~50% CO and ~18% HCOOH selectivity while suppressing HER at moderate current densities and maintaining stability over extended operation. DFT calculations reveal that Ti-based MXenes favor HER due to facile water dissociation and strong Ti–O interactions, whereas V-based MXenes stabilize HCOO* intermediates via termination-mediated hydrogen bonding, lowering the CO2RR overpotential. These results elucidate composition–structure–activity relationships for rational design of selective 2D electrocatalysts.

npj 2D Materials and Applications
Technische Universität Darmstadt (DE), The Ohio State University (US), Arizona State University (US), Texas A&M University (US)
Openalex Percentile: Top 14%
CO2 Reduction Techniques and Catalysts
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.