Double‐Dependence Correlations in Graphdiyne‐Supported Atomic Catalysts to Promote CO2RR toward the Generation of C2 Products. Issue 7 (30th December 2022)
- Record Type:
- Journal Article
- Title:
- Double‐Dependence Correlations in Graphdiyne‐Supported Atomic Catalysts to Promote CO2RR toward the Generation of C2 Products. Issue 7 (30th December 2022)
- Main Title:
- Double‐Dependence Correlations in Graphdiyne‐Supported Atomic Catalysts to Promote CO2RR toward the Generation of C2 Products
- Authors:
- Sun, Mingzi
Wong, Hon Ho
Wu, Tong
Lu, Qiuyang
Lu, Lu
Chan, Cheuk Hei
Chen, Baian
Dougherty, Alan William
Huang, Bolong - Abstract:
- Abstract: Developing efficient and stable atomic catalysts (ACs) to achieve high faradaic efficiency and selectivity of C2 products is a significant challenge for research on the CO2 reduction reaction (CO2 RR). Although significant efforts have been devoted to this endeavor, the understanding of C2 pathways and the influences of metal selection and active sites on the CO2 RR still remain unclear. Herein, this work presents a comprehensive theoretical exploration of full C2 reaction pathway mapping based on graphdiyne (GDY)‐supported ACs with considerations of different metals and active sites for the first time. This work demonstrates the integrated large‐small cycle mechanism to explain the challenges for C2 product generation, where the double‐dependence correlation with metal and active sites is identified. A series of novel transition metal based GDY‐SACs, GDY‐Pr, and GDY‐Pm SACs are demonstrated as promising electrocatalysts to generate CH3 CH2 OH, CH3 COOH, CH3 CHO, and CH2 OHCH2 OH while the formation of C2 H4 is very difficult for all GDY‐ACs. First‐principle machine learning predicts the reaction energy for the first time, where the adsorptions of the intermediates are critical to achieving accurate predictions of multi‐carbon products. This work supplies an advanced understanding of the complicated CO2 RR mechanisms, which is expected to aid the development of novel atomic catalysts for efficient C2 product generation. Abstract : Understanding the CO2 reductionAbstract: Developing efficient and stable atomic catalysts (ACs) to achieve high faradaic efficiency and selectivity of C2 products is a significant challenge for research on the CO2 reduction reaction (CO2 RR). Although significant efforts have been devoted to this endeavor, the understanding of C2 pathways and the influences of metal selection and active sites on the CO2 RR still remain unclear. Herein, this work presents a comprehensive theoretical exploration of full C2 reaction pathway mapping based on graphdiyne (GDY)‐supported ACs with considerations of different metals and active sites for the first time. This work demonstrates the integrated large‐small cycle mechanism to explain the challenges for C2 product generation, where the double‐dependence correlation with metal and active sites is identified. A series of novel transition metal based GDY‐SACs, GDY‐Pr, and GDY‐Pm SACs are demonstrated as promising electrocatalysts to generate CH3 CH2 OH, CH3 COOH, CH3 CHO, and CH2 OHCH2 OH while the formation of C2 H4 is very difficult for all GDY‐ACs. First‐principle machine learning predicts the reaction energy for the first time, where the adsorptions of the intermediates are critical to achieving accurate predictions of multi‐carbon products. This work supplies an advanced understanding of the complicated CO2 RR mechanisms, which is expected to aid the development of novel atomic catalysts for efficient C2 product generation. Abstract : Understanding the CO2 reduction reaction's (CO2 RR) mechanism is highly significant for developing efficient atomic catalysts with high selectivity. Through comprehensive explorations of the C2 product formation on a graphdiyne‐supported atomic catalyst, a double‐correlation dependence is revealed to demonstrate reaction trends of CO2 RRs regarding elements and active sites. This work aids the design of novel atomic catalysts for the CO2 RR. … (more)
- Is Part Of:
- Advanced energy materials. Volume 13:Issue 7(2023)
- Journal:
- Advanced energy materials
- Issue:
- Volume 13:Issue 7(2023)
- Issue Display:
- Volume 13, Issue 7 (2023)
- Year:
- 2023
- Volume:
- 13
- Issue:
- 7
- Issue Sort Value:
- 2023-0013-0007-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-12-30
- Subjects:
- atomic catalysts -- C 2 products -- carbon dioxide reduction -- double‐dependence correlation -- graphdiyne
Energy harvesting -- Materials -- Periodicals
Energy conversion -- Materials -- Periodicals
Energy storage -- Materials -- Periodicals
Photovoltaics -- Periodicals
Fuel cells -- Periodicals
Thermoelectric materials -- Periodicals
621.31 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1614-6840/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/aenm.202203858 ↗
- Languages:
- English
- ISSNs:
- 1614-6832
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.850700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25982.xml