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Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes

Graphene‐based materials have been extensively researched as a means improve the electrochemical performance of transition metal oxides in Li‐ion battery applications, however an understanding of the effect of the different synthesis routes, and the factors underlying the oft‐stated better performan...

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Autores principales: Day, Cameron, Greig, Katie, Massey, Alexander, Peake, Jennifer, Crossley, David, Dryfe, Robert A. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154695/
https://www.ncbi.nlm.nih.gov/pubmed/31816160
http://dx.doi.org/10.1002/cssc.201902784
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author Day, Cameron
Greig, Katie
Massey, Alexander
Peake, Jennifer
Crossley, David
Dryfe, Robert A. W.
author_facet Day, Cameron
Greig, Katie
Massey, Alexander
Peake, Jennifer
Crossley, David
Dryfe, Robert A. W.
author_sort Day, Cameron
collection PubMed
description Graphene‐based materials have been extensively researched as a means improve the electrochemical performance of transition metal oxides in Li‐ion battery applications, however an understanding of the effect of the different synthesis routes, and the factors underlying the oft‐stated better performance of the hybrid materials (compared to the pure metal oxides) is not always demonstrated. For the first time, we report a range of synthetic routes to produce graphene oxide (GO)‐coated CuO, micro‐particle/GO “bundles” as well as nano‐particulates decorated on GO sheets to enable a comparison with CuO and its carbon‐coated analogue, as confirmed using scanning electron microscopy (SEM) imaging and Raman spectroscopy. Cyclic voltammetry was utilized to probe the lithiation/delithiation mechanism of CuO by scanning at successively decreasing vertex potentials, uncovering the importance of a full reduction to Cu metal on the reduction step. The GO hybrid materials clearly show enhanced specific capacities and cycling stabilities comparative to the CuO, with the most promising material achieving a capacity of 746 mAh g(−1) and capacity retention of 92 % after 30 cycles, which is the highest stable capacity quoted in literature for CuO. The simple cyclic voltammetry technique used in this work could be implemented to help further understand any conversion‐type anode materials, in turn accelerating the research and industrial development of conversion anodes.
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spelling pubmed-71546952020-04-14 Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes Day, Cameron Greig, Katie Massey, Alexander Peake, Jennifer Crossley, David Dryfe, Robert A. W. ChemSusChem Full Papers Graphene‐based materials have been extensively researched as a means improve the electrochemical performance of transition metal oxides in Li‐ion battery applications, however an understanding of the effect of the different synthesis routes, and the factors underlying the oft‐stated better performance of the hybrid materials (compared to the pure metal oxides) is not always demonstrated. For the first time, we report a range of synthetic routes to produce graphene oxide (GO)‐coated CuO, micro‐particle/GO “bundles” as well as nano‐particulates decorated on GO sheets to enable a comparison with CuO and its carbon‐coated analogue, as confirmed using scanning electron microscopy (SEM) imaging and Raman spectroscopy. Cyclic voltammetry was utilized to probe the lithiation/delithiation mechanism of CuO by scanning at successively decreasing vertex potentials, uncovering the importance of a full reduction to Cu metal on the reduction step. The GO hybrid materials clearly show enhanced specific capacities and cycling stabilities comparative to the CuO, with the most promising material achieving a capacity of 746 mAh g(−1) and capacity retention of 92 % after 30 cycles, which is the highest stable capacity quoted in literature for CuO. The simple cyclic voltammetry technique used in this work could be implemented to help further understand any conversion‐type anode materials, in turn accelerating the research and industrial development of conversion anodes. John Wiley and Sons Inc. 2020-01-23 2020-03-20 /pmc/articles/PMC7154695/ /pubmed/31816160 http://dx.doi.org/10.1002/cssc.201902784 Text en © 2019 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
Day, Cameron
Greig, Katie
Massey, Alexander
Peake, Jennifer
Crossley, David
Dryfe, Robert A. W.
Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes
title Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes
title_full Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes
title_fullStr Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes
title_full_unstemmed Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes
title_short Utilizing Cyclic Voltammetry to Understand the Energy Storage Mechanisms for Copper Oxide and its Graphene Oxide Hybrids as Lithium‐Ion Battery Anodes
title_sort utilizing cyclic voltammetry to understand the energy storage mechanisms for copper oxide and its graphene oxide hybrids as lithium‐ion battery anodes
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154695/
https://www.ncbi.nlm.nih.gov/pubmed/31816160
http://dx.doi.org/10.1002/cssc.201902784
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