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Han Y, Xu H, Li Q, Du A, Yan X. DFT-assisted low-dimensional carbon-based electrocatalysts design and mechanism study: a review. Front Chem 2023; 11:1286257. [PMID: 37920412 PMCID: PMC10619919 DOI: 10.3389/fchem.2023.1286257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 09/27/2023] [Indexed: 11/04/2023] Open
Abstract
Low-dimensional carbon-based (LDC) materials have attracted extensive research attention in electrocatalysis because of their unique advantages such as structural diversity, low cost, and chemical tolerance. They have been widely used in a broad range of electrochemical reactions to relieve environmental pollution and energy crisis. Typical examples include hydrogen evolution reaction (HER), oxygen evolution reaction (OER), oxygen reduction reaction (ORR), carbon dioxide reduction reaction (CO2RR), and nitrogen reduction reaction (NRR). Traditional "trial and error" strategies greatly slowed down the rational design of electrocatalysts for these important applications. Recent studies show that the combination of density functional theory (DFT) calculations and experimental research is capable of accurately predicting the structures of electrocatalysts, thus revealing the catalytic mechanisms. Herein, current well-recognized collaboration methods of theory and practice are reviewed. The commonly used calculation methods and the basic functionals are briefly summarized. Special attention is paid to descriptors that are widely accepted as a bridge linking the structure and activity and the breakthroughs for high-volume accurate prediction of electrocatalysts. Importantly, correlated multiple descriptors are used to systematically describe the complicated interfacial electrocatalytic processes of LDC catalysts. Furthermore, machine learning and high-throughput simulations are crucial in assisting the discovery of new multiple descriptors and reaction mechanisms. This review will guide the further development of LDC electrocatalysts for extended applications from the aspect of DFT computations.
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Affiliation(s)
- Yun Han
- Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan Campus, Brisbane, QLD, Australia
- School of Engineering and Built Environment, Griffith University, Nathan Campus, Brisbane, QLD, Australia
| | - Hongzhe Xu
- Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan Campus, Brisbane, QLD, Australia
- School of Engineering and Built Environment, Griffith University, Nathan Campus, Brisbane, QLD, Australia
| | - Qin Li
- Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan Campus, Brisbane, QLD, Australia
- School of Engineering and Built Environment, Griffith University, Nathan Campus, Brisbane, QLD, Australia
| | - Aijun Du
- School of Chemistry and Physics and Centre for Materials Science, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, Australia
| | - Xuecheng Yan
- Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan Campus, Brisbane, QLD, Australia
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2
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Liu S, Zheng D, Zhao L, Zhao X, Chen X. Rare Earth Metal Anchored into Nitrogen-Doped Graphene for CO 2 Electrocatalytic Reduction to C1 Products. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:14748-14757. [PMID: 37787646 DOI: 10.1021/acs.langmuir.3c02135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Single-atom catalysts (SACs) are attracting global attention due to their 100% atomic utilization rate and unique properties. Rare-earth-based SACs have shown great potential in the field of electrocatalysis in recent years. In this study, the catalytic performance of four rare earth metals (REMs) anchored into N-graphene for the CO2RR is systematically studied by density functional theory. The calculation results of formation energy show that all REM@N6-G compounds have favorable stability. In addition, the Gibbs free energy calculation results of all possible elementary reactions show that the *OCHO pathway is the optimal hydrogenation pathway for all catalysts, and they have the same potential determining step (*OCHO + e- + H+ → *HCOOH). Meanwhile, the products of the CO2RR on these catalysts are different, and the product on REM@N6-G (REM = La, Pr, and Nd) is CH4, while the product on Ce@N6-G is CH3OH. In particular, Nd@N6-G exhibits the best catalytic activity in this work, with a very low limiting potential of -0.38 V. These results may guide the development of rare-earth-based SACs for CO2RR.
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Affiliation(s)
- Siying Liu
- Center for Computational Chemistry and Molecular Simulation, College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, P. R. China
| | - Desheng Zheng
- School of Computer Science, Southwest Petroleum University, Chengdu 610500, P. R. China
| | - Lei Zhao
- Center for Computational Chemistry and Molecular Simulation, College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, P. R. China
| | - Xiuyun Zhao
- Department of Technical Physics, University of Eastern Finland, Kuopio 70211, Finland
| | - Xin Chen
- Center for Computational Chemistry and Molecular Simulation, College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, P. R. China
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3
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Chen Z, Qi H, Wang H, Yue C, Liu Y, Yang Z, Pu M, Lei M. The rational design of high-performance graphene-based single-atom electrocatalysts for the ORR using machine learning. Phys Chem Chem Phys 2023. [PMID: 37409650 DOI: 10.1039/d3cp01224g] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
In this work, high-performance two-dimensional (2D) graphene-based single-atom electrocatalysts (ZZ/ZA-MNxCy) for the oxygen reduction reaction (ORR) were screened out using machine learning (ML). A model was built for the fast prediction of electrocatalysts and two descriptors valence electron correction (VEc) and degree of construction differences (DC) were proposed to improve the accuracy of the model prediction. Two evaluation criteria, high-performance catalyst retention rate rR and high-performance catalyst occupancy rate rO, were proposed to evaluate the accuracy of ML models in high-performance catalyst screening. The addition of VEc and DC in the model could change the mean absolute error (MAEtest) of the test set, the coefficient of determination (R2test) of the test set, rO, and rR from 0.334 V, 0.683, 0.222, and 0.360 to 0.271 V, 0.774, 0.421, and 0.671, respectively. The partially screened potential high-performance ORR electrocatalysts such as ZZ-CoN4 and ZZ-CoN3C1 were also further investigated using a Density Functional Theory (DFT) method, which confirmed the accuracy of the ML model (MAE = 0.157 V, R2 = 0.821).
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Affiliation(s)
- Ziqiang Chen
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Hexiang Qi
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Haohao Wang
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Caiwei Yue
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Yangqiu Liu
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Zuoyin Yang
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Min Pu
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
| | - Ming Lei
- State Key Laboratory of Chemical Resource Engineering, Institute of Computational Chemistry, College of Chemistry, Beijing University of Chemical Technology, Beijing 100029, China.
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Co nanoparticles/N-doped carbon nanotubes: Facile synthesis by taking Co-based complexes as precursors and electrocatalysis on oxygen reduction reaction. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.129912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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5
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Design of γ-Alumina-Supported Phosphotungstic Acid-Palladium Bifunctional Catalyst for Catalytic Liquid-Phase Citral Hydrogenation. Catalysts 2022. [DOI: 10.3390/catal12091069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
This study primarily addresses the development of dynamic, selective and economical metal–acid (bifunctional) catalysts for one-pot menthol production by citral hydrogenation. Specifically, various metals such as Pd, Pt, Ni, Cs and Sn were doped over alumina support. Additionally, bifunctional composite catalysts were also prepared with the impregnation of heteropoly acids and Pd precursors over alumina support. Analytical techniques (e.g., BET, PXRD, FT-IR, pyridine adsorption and amine titration methods) were applied for characterization of the most efficient and selective catalysts (e.g., Al2O3 and PTA-Cat-I). Similarly, most of the essential operational variables (e.g., loading rate of metal precursor, type of heteropoly acid, temperature, gas pressure and reaction time) were examined during this study. The experimental data shows that the bifunctional catalyst (PTA-Cat-I) produced 45% menthol at full citral substrate conversion (r = 0.038 mmoles.min−1) in liquid-phase citral hydrogenation (at optimized operating conditions: 70 °C, 0.5 MPa and 8 h). However, the heteropoly acid-supported bifunctional catalysts (e.g., PTA-Cat-I, PMA-Cat-I, SMA-Cat-I and STA-Cat-I) resulted in cracking and the dehydration of isopulegol/menthol by the generation of side products (e.g., 4-isopropyl-1-methyl, cyclohex-1-ane/ene); therefore, menthol yield was extensively diminished. On the other hand, non-acidic catalysts (e.g., Cat-I, Cat-II, Cat-III, Cat-IV and Cat-V) readily promoted hydrogenation reactions. The optimum menthol yield occurred due to the presence of strong Lewis and weak Bronsted acid sites. Mass transfer and reaction rate were substantially diminished due to acidity strength, heteropoly acid type and blockage of pores by the applied bifunctional catalysts.
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FeNiCo-based crystalline–amorphous nanohybrid grown on Ni foam as a trimetallic synergistic electrocatalyst for oxygen evolution reaction. J APPL ELECTROCHEM 2022. [DOI: 10.1007/s10800-022-01730-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Bi J, Zhai X, Chi J, Wu X, Chen S, Wang X, Wang L. Ultrafine CoPt
3
nanoparticles encapsulated in nitrogen‐doped carbon nanospheres for efficient water electrolysis. ELECTROCHEMICAL SCIENCE ADVANCES 2021. [DOI: 10.1002/elsa.202100082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Junlu Bi
- Key Laboratory of Eco‐chemical Engineering Key Laboratory of Optic‐electric Sensing and Analytical Chemistry of Life Science, Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao PR China
| | - Xuejun Zhai
- Key Laboratory of Eco‐chemical Engineering Key Laboratory of Optic‐electric Sensing and Analytical Chemistry of Life Science, Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao PR China
- College of Environment and Safety Engineering Qingdao University of Science and Technology Qingdao PR China
| | - Jingqi Chi
- Key Laboratory of Eco‐chemical Engineering Key Laboratory of Optic‐electric Sensing and Analytical Chemistry of Life Science, Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao PR China
- College of Chemical Engineering Qingdao University of Science and Technology Qingdao PR China
| | - Xueke Wu
- Key Laboratory of Eco‐chemical Engineering Key Laboratory of Optic‐electric Sensing and Analytical Chemistry of Life Science, Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao PR China
| | - Shaojin Chen
- Key Laboratory of Eco‐chemical Engineering Key Laboratory of Optic‐electric Sensing and Analytical Chemistry of Life Science, Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao PR China
| | - Xinping Wang
- College of Marine Science and Biological Engineering Qingdao University of Science and Technology Qingdao PR China
| | - Lei Wang
- Key Laboratory of Eco‐chemical Engineering Key Laboratory of Optic‐electric Sensing and Analytical Chemistry of Life Science, Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology Qingdao PR China
- College of Environment and Safety Engineering Qingdao University of Science and Technology Qingdao PR China
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8
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Multifunctional Electrocatalysis on Single-Site Metal Catalysts: A Computational Perspective. Catalysts 2021. [DOI: 10.3390/catal11101165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Multifunctional electrocatalysts are vastly sought for their applications in water splitting electrolyzers, metal-air batteries, and regenerative fuel cells because of their ability to catalyze multiple reactions such as hydrogen evolution, oxygen evolution, and oxygen reduction reactions. More specifically, the application of single-atom electrocatalyst in multifunctional catalysis is a promising approach to ensure good atomic efficiency, tunability and additionally benefits simple theoretical treatment. In this review, we provide insights into the variety of single-site metal catalysts and their identification. We also summarize the recent advancements in computational modeling of multifunctional electrocatalysis on single-site catalysts. Furthermore, we explain each modeling step with open-source-based working examples of a standard computational approach.
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Recent developments in the use of single-atom catalysts for water splitting. CHINESE JOURNAL OF CATALYSIS 2021. [DOI: 10.1016/s1872-2067(20)63619-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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10
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Du B, Qiu L, Chen Y, Zhang Z. Rational Design of Self-Supported CuO x -Decorated Composite Films as an Efficient and Easy-Recycling Catalyst for Styrene Oxidation. ACS OMEGA 2021; 6:18157-18168. [PMID: 34308047 PMCID: PMC8296588 DOI: 10.1021/acsomega.1c02031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 06/25/2021] [Indexed: 06/13/2023]
Abstract
The applications of graphene-based materials in catalysis are limited by their strong tendency to aggregate, which may lead to a decrease in active sites. Herein, we propose a facile and controllable strategy to fabricate a series of heterogeneous catalysts with a unique nanostructure wherein CuO x -decorated reduced graphene oxide (rGO) sheets are incorporated into a solid matrix composed of poly(vinylpyrrolidone) (PVP) and carboxymethyl cellulose (CMC). The resultant materials are self-supported films and could be directly used as catalysts for the liquid-phase oxidation of styrene without the requirement for extra substrates. The employment of PVP-CMC (PC) as the support for CuO x -decorated rGO sheets successfully inhibits their aggregation. Benefiting from the dispersion of copper species, these films exhibit good catalytic activity and recyclability under mild reaction conditions. Especially, they can be conveniently removed from the reaction mixture by tweezers due to their structural stability. For catalyzing multiple reactions with high efficiency and facile recyclability, this study offers a universal strategy to design heterogeneous catalysts based on graphene materials and provides a promising platform.
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11
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Chen M, Luo M, Liu C, Qi X, Peera SG, Liang T. Transition metal-Nx doped graphene as an efficient oxygen reduction reaction catalyst: A theoretical perspective. COMPUT THEOR CHEM 2020. [DOI: 10.1016/j.comptc.2020.112945] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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12
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Nair AS, Ahuja R, Pathak B. Unraveling the single-atom electrocatalytic activity of transition metal-doped phosphorene. NANOSCALE ADVANCES 2020; 2:2410-2421. [PMID: 36133380 PMCID: PMC9418523 DOI: 10.1039/d0na00209g] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 04/21/2020] [Indexed: 05/28/2023]
Abstract
The development of single-atom catalysts (SACs) for chemical reactions of vital importance in the renewable energy sector has emerged as an urgent priority. In this perspective, transition metal-based SACs with monolayer phosphorous (phosphorene) as the supporting material are scrutinized for their electrocatalytic activity towards the oxygen reduction reaction (ORR), oxygen evolution reaction (OER), and hydrogen evolution reaction (HER) from first-principle calculations. The detailed screening study has confirmed a breaking of the scaling relationship between the ORR/OER intermediates, resulting in various activity trends across the transition metal series. Groups 9 and 10 transition metal-based SACs are identified as potential catalyst candidates with the platinum single atom offering bifunctional activity for OER and HER with diminished overpotentials. Ambient condition stability analysis of SACs confirmed a different extent of interaction towards oxygen and water compared to pristine phosphorene, suggesting room for improving the stability of phosphorene via chemical functionalization.
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Affiliation(s)
- Akhil S Nair
- Discipline of Chemistry, Indian Institute of Technology Indore M. P. India
| | - Rajeev Ahuja
- Condensed Matter Theory Group, Department of Physics and Astronomy, Uppsala University Box 516 SS-75120 Uppsala Sweden
- Applied Materials Theory Group, Department of Materials and Engineering, Royal Institute of Technology, (KTH) S-10044 Stockholm Sweden
| | - Biswarup Pathak
- Discipline of Chemistry, Indian Institute of Technology Indore M. P. India
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13
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Hao Y, Gong PL, Xu LC, Pu J, Wang L, Huang LF. Contrasting Oxygen Reduction Reactions on Zero- and One-Dimensional Defects of MoS 2 for Versatile Applications. ACS APPLIED MATERIALS & INTERFACES 2019; 11:46327-46336. [PMID: 31718125 DOI: 10.1021/acsami.9b14502] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Oxygen reduction reaction (ORR) is a key microscopic process in many electrochemical applications of materials, where the requirements of their ORR performances may vary strikingly, for example, during the uses of MoS2 as an electrocatalyst and anticorrosion/lubricating coating in aqueous/humid environments, ORR should be activated and inhibited, respectively. To reveal a complete ORR profile of MoS2, using first-principles calculations, we examine the stabilities of various possible zero-dimensional point defects on the surface and one-dimensional edge defects and comprehensively explore the ORR activities on pristine MoS2 surface and those defects in acid/alkaline solutions. It is found that the ORRs on the pristine surface and surfaces with point defects always require large overpotentials (>1.0 V), indicating a defect-immune resistance of the planar MoS2 surface against the ORR. However, the ORR overpotentials on edge defects can reach as low as 0.66 V, corresponding to a relatively high activity close to that of the prototypical catalyst Pt (overpotential ∼0.45 V). Such contrasting ORR behaviors of point and edge defects are also understood in depth by analyzing the underlying thermodynamic and electronic-structure mechanisms. This work not only quantitatively explains the performances of MoS2 in both galvanic corrosion and electrochemical catalysis but also provides a useful structure-ORR map that can facilitate adapting the realistic MoS2 to versatile electrochemical applications.
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Affiliation(s)
- Yu Hao
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies , Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo 315201 , China
| | - Peng-Lai Gong
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies , Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo 315201 , China
- Department of Physics , Southern University of Science and Technology , Shenzhen 518000 , China
| | | | - Jibin Pu
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies , Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo 315201 , China
| | - Liping Wang
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies , Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo 315201 , China
| | - Liang-Feng Huang
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies , Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo 315201 , China
- Department of Materials Science and Engineering , Northwestern University , Evanston , Illinois 60208 , United States
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14
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Mao X, Kour G, Zhang L, He T, Wang S, Yan C, Zhu Z, Du A. Silicon-doped graphene edges: an efficient metal-free catalyst for the reduction of CO2 into methanol and ethanol. Catal Sci Technol 2019. [DOI: 10.1039/c9cy01709g] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Si doped graphene as a metal-free catalyst to convert CO2 to methanol and ethanol with high selectivity and activity.
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Affiliation(s)
- Xin Mao
- School of Chemistry
- Physics and Mechanical Engineering
- Science and Engineering Faculty
- Queensland University of Technology
- Brisbane
| | - Gurpreet Kour
- School of Chemistry
- Physics and Mechanical Engineering
- Science and Engineering Faculty
- Queensland University of Technology
- Brisbane
| | - Lei Zhang
- School of Chemistry
- Physics and Mechanical Engineering
- Science and Engineering Faculty
- Queensland University of Technology
- Brisbane
| | - Tianwei He
- School of Chemistry
- Physics and Mechanical Engineering
- Science and Engineering Faculty
- Queensland University of Technology
- Brisbane
| | - Sufan Wang
- College of Chemistry and Materials Science
- Anhui Normal University
- Wuhu 241000
- China
| | - Cheng Yan
- School of Chemistry
- Physics and Mechanical Engineering
- Science and Engineering Faculty
- Queensland University of Technology
- Brisbane
| | - Zhonghua Zhu
- School of Chemical Engineering
- The University of Queensland
- Brisbane 4072
- Australia
| | - Aijun Du
- School of Chemistry
- Physics and Mechanical Engineering
- Science and Engineering Faculty
- Queensland University of Technology
- Brisbane
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