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Nabi AG, Aman-ur-Rehman, Hussain A, Chass GA, Di Tommaso D. Optimal Icosahedral Copper-Based Bimetallic Clusters for the Selective Electrocatalytic CO 2 Conversion to One Carbon Products. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 13:87. [PMID: 36615997 PMCID: PMC9823659 DOI: 10.3390/nano13010087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/12/2023]
Abstract
Electrochemical CO2 reduction reactions can lead to high value-added chemical and materials production while helping decrease anthropogenic CO2 emissions. Copper metal clusters can reduce CO2 to more than thirty different hydrocarbons and oxygenates yet they lack the required selectivity. We present a computational characterization of the role of nano-structuring and alloying in Cu-based catalysts on the activity and selectivity of CO2 reduction to generate the following one-carbon products: carbon monoxide (CO), formic acid (HCOOH), formaldehyde (H2C=O), methanol (CH3OH) and methane (CH4). The structures and energetics were determined for the adsorption, activation, and conversion of CO2 on monometallic and bimetallic (decorated and core@shell) 55-atom Cu-based clusters. The dopant metals considered were Ag, Cd, Pd, Pt, and Zn, located at different coordination sites. The relative binding strength of the intermediates were used to identify the optimal catalyst for the selective CO2 conversion to one-carbon products. It was discovered that single atom Cd or Zn doping is optimal for the conversion of CO2 to CO. The core@shell models with Ag, Pd and Pt provided higher selectivity for formic acid and formaldehyde. The Cu-Pt and Cu-Pd showed lowest overpotential for methane formation.
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Affiliation(s)
- Azeem Ghulam Nabi
- Department of Chemistry, School of Physical and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK
- Department of Physics and Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad 45650, Pakistan
- Department of Physics, University of Gujrat, Jalalpur Jattan Road, Gujrat 50700, Pakistan
- Theoretical Physics Division, Pakistan Institute of Nuclear Science& Technology (PINSTECH), Nilore, Islamabad 45650, Pakistan
| | - Aman-ur-Rehman
- Department of Physics and Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad 45650, Pakistan
- Department of Nuclear Engineering, Pakistan Institute of Engineering & Applied Sciences, Nilore, Islamabad 45650, Pakistan
- Center for Mathematical Sciences, Pakistan Institute of Engineering & Applied Sciences, Nilore, Islamabad 45650, Pakistan
| | - Akhtar Hussain
- Theoretical Physics Division, Pakistan Institute of Nuclear Science& Technology (PINSTECH), Nilore, Islamabad 45650, Pakistan
| | - Gregory A. Chass
- Department of Chemistry, School of Physical and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK
- Department of Chemistry, McMaster University, Hamilton, ON L8S 4L8, Canada
- Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T1Z4, Canada
| | - Devis Di Tommaso
- Department of Chemistry, School of Physical and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK
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Sintillo SM, Bautista Hernández A, Peláez Cid AA, Ibarra Hernández W, Villanueva MS. Cu n Clusters ( n = 13, 43, and 55) as Possible Degradant Agents of mSF 6 Molecules ( m = 1, 2): A DFT Study. ACS OMEGA 2022; 7:34401-34411. [PMID: 36188309 PMCID: PMC9521032 DOI: 10.1021/acsomega.2c04020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/02/2022] [Indexed: 06/16/2023]
Abstract
In order to obtain the structural and electronic properties of pristine copper clusters and Cu13-SF6, Cu43-SF6, Cu55-SF6, Cu13-2SF6, Cu43-2SF6, and Cu55-2SF6 systems, DFT calculations were carried out. For Cu13-mSF6, its surface suffers a drastic deformation, and Cu43-mSF6 at its outer surface reveals strong interaction for the first chemical molecule; when the second molecule is interacting, these outer surfaces are not severely affected. These two cases degraded fully the first SF6 molecule; however the second molecule is bonded to the latter systems and for Cu55-mSF6 (m = 1 and 2) a structural transformation from SF6 →SF4 appears as well as inner and outer shells that display slight deformations. The electronic gaps do not exhibit drastic changes after adsorption of mSF6 molecules, and the magnetic moment remains without alterations. The whole system shows thermal and vibrational stability. In addition, for Cu13-mSF6 the values of the optical gap and intensity of the optical exhibit changes with respect to the pristine case (Cu13), and the rest of the systems do not exhibit major oscillations. These icosahedral copper clusters emerge as a good option to degrade mSF6 molecules.
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Affiliation(s)
- S. Mejía Sintillo
- Benemérita
Universidad Autónoma de Puebla, Facultad de Ingeniería, Apdo. Postal J-39, Puebla, 72570, Mexico
- CIICAP
UAEM, Avenida Universidad 1001, Chamilpa, 62209 Cuernavaca, Morelos, 62209, México
| | | | | | - Wilfredo Ibarra Hernández
- Benemérita
Universidad Autónoma de Puebla, Facultad de Ingeniería, Apdo. Postal J-39, Puebla, 72570, Mexico
| | - M. Salazar Villanueva
- Benemérita
Universidad Autónoma de Puebla, Facultad de Ingeniería, Apdo. Postal J-39, Puebla, 72570, Mexico
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Wang X, Wang H, Luo Q, Yang J. Structural and electro-catalytic properties of copper clusters: a study via deep learning and first principles . J Chem Phys 2022; 157:074304. [DOI: 10.1063/5.0100505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Determining the atomic structure of clusters has been a long-term challenge in theoretical calculations due to the high computational cost of density-functional theory (DFT). Deep learning potential (DP), as an alternative way, has been demonstrated to be able to conduct cluster simulations with close-to DFT accuracy but at a much lower computational cost. In this work, we update 34 structures of the 41 Cu clusters with atomic numbers ranging from 10 to 50 by combining global optimization and the DP model. The calculations show that the configuration of small Cu n clusters ( n = 10 −15) tends to be oblate and it gradually transforms into a cage-like configuration as the size increases ( n > 15). Based on the updated structures, their relative stability and electronic properties are extensively studied. Besides, we select 3 different clusters (Cu13, Cu38, and Cu49) to study their electrocatalytic ability of CO2 reduction. The simulation indicates that the main product is CO for these three clusters, while the selectivity of hydrocarbons is inhibited. This work is expected to clarify the ground-state structures and fundamental properties of Cu n clusters, and to guide experiments for the design of Cu-based catalysts.
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Affiliation(s)
- Xiaoning Wang
- University of Science and Technology of China, China
| | | | | | - Jinlong Yang
- Dept.of Chem. Phys., University of Science and Technology of China, China
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