4f-Electron localization in Ce-embedded Co <sub>6</sub> Te <sub>8</sub> clusters for enhanced CO <sub>2</sub> reduction catalysis

Density functional theory (DFT) calculations were employed to investigate the CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) on a series of metal-embedded Co<sub>6</sub>Te<sub>8</sub>(PH<sub>3</sub>)<sub>5</sub> chalcogenide clusters, incorporating transition metals and f-block elements including Ti (3d), Zr (4d), Hf (5d), Ce (4f/5d), and Th (5f/6d). Structural modifications introduced by metal embedding were found to effectively tune the electronic structure, thereby altering the reactivity of the host cluster. Subsequently the interplay between f and d orbitals was systematically analyzed to reveal its role in modulating catalytic activity. Among all candidates, Ce@Co<sub>6</sub>Te<sub>8</sub>(PH<sub>3</sub>)<sub>5</sub> exhibits the lowest endothermic energy along the CO<sub>2</sub>RR pathway, suggesting its superior catalytic performance. This behavior arises from the unique participation of Ce 4f states, which enhance both π* antibonding population and Pauli repulsion at the Co-CO interface. These two effects jointly weaken the net interaction, making CO desorption most favorable on Ce@cage and thereby accelerating the catalytic cycle. Additionally, 4f electron localization narrows the HOMO-LUMO energy gap, further increasing the electronic reactivity of the cluster. These findings highlight 4f electron localization as a key descriptor for designing high-performance molecular catalysts based on chalcogenide clusters.

Authors

Institutions

Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2026-01-01
DOI
https://doi.org/10.1039/d5cp04029a
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

4f-Electron localization in Ce-embedded Co 6 Te 8 clusters for enhanced CO 2 reduction catalysis

Kamran Akbar, Georg Schreckenbach, Yang Gao, Yanning Zhang et al.
Physical Chemistry Chemical Physics
CO2 Reduction Techniques and Catalysts
article

4f-Electron localization in Ce-embedded Co 6 Te 8 clusters for enhanced CO 2 reduction catalysis

Kamran Akbar, Georg Schreckenbach, Yang Gao, Yanning Zhang, Jiarui Li, Wang Cong, Pawel Michal Kozlowski, Zhiming M. Wang, Zhiyuan Zhang
article en

Abstract

Density functional theory (DFT) calculations were employed to investigate the CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) on a series of metal-embedded Co<sub>6</sub>Te<sub>8</sub>(PH<sub>3</sub>)<sub>5</sub> chalcogenide clusters, incorporating transition metals and f-block elements including Ti (3d), Zr (4d), Hf (5d), Ce (4f/5d), and Th (5f/6d). Structural modifications introduced by metal embedding were found to effectively tune the electronic structure, thereby altering the reactivity of the host cluster. Subsequently the interplay between f and d orbitals was systematically analyzed to reveal its role in modulating catalytic activity. Among all candidates, Ce@Co<sub>6</sub>Te<sub>8</sub>(PH<sub>3</sub>)<sub>5</sub> exhibits the lowest endothermic energy along the CO<sub>2</sub>RR pathway, suggesting its superior catalytic performance. This behavior arises from the unique participation of Ce 4f states, which enhance both π* antibonding population and Pauli repulsion at the Co-CO interface. These two effects jointly weaken the net interaction, making CO desorption most favorable on Ce@cage and thereby accelerating the catalytic cycle. Additionally, 4f electron localization narrows the HOMO-LUMO energy gap, further increasing the electronic reactivity of the cluster. These findings highlight 4f electron localization as a key descriptor for designing high-performance molecular catalysts based on chalcogenide clusters.

Physical Chemistry Chemical PhysicsVol. 28(5)
University of Louisville (US), Ca' Foscari University of Venice (IT), University of Electronic Science and Technology of China (CN), University of Manitoba (CA)
Openalex Percentile: Top 93%
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.