Rational design of metal node-modified Ti-based MOFs for selective photoreduction of carbon dioxide to ethanol by computational screening

DFT calculations were used to screen and design highly efficient metal node-modified Ti-based MOFs for CO 2 photo-reduction to C 2 products. Ti(Nb)-ATA was identified as the most active and selective catalyst for CO 2 reduction to ethanol.

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta03415a
Citations
1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.73

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article

Rational design of metal node-modified Ti-based MOFs for selective photoreduction of carbon dioxide to ethanol by computational screening

Xiaowa Nie, Shuang Wang, Chunshan Song, Xinwen Guo
1 citations
Journal of Materials Chemistry A
Gas Sensing Nanomaterials and Sensors
0.73
article

Rational design of metal node-modified Ti-based MOFs for selective photoreduction of carbon dioxide to ethanol by computational screening

Xiaowa Nie, Shuang Wang, Chunshan Song, Xinwen Guo
article en
1 citations

Abstract

DFT calculations were used to screen and design highly efficient metal node-modified Ti-based MOFs for CO 2 photo-reduction to C 2 products. Ti(Nb)-ATA was identified as the most active and selective catalyst for CO 2 reduction to ethanol.

Journal of Materials Chemistry AVol. 13(34)
Chinese University of Hong Kong (HK), Dalian University of Technology (CN)
National Natural Science Foundation of China, Dalian University of Technology, Liaoning Revitalization Talents Program, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 26%
Gas Sensing Nanomaterials and Sensors
0.73
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