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Oxygen-Vacancy Abundant Ultrafine Co_3O_4/Graphene Composites for High-Rate Supercapacitor Electrodes

Yang, Shuhua and Liu, Yuanyue and Hao, Yufeng and Yang, Xiaopeng and Goddard, William A., III and Zhang, Xiao Li and Cao, Bingqiang (2018) Oxygen-Vacancy Abundant Ultrafine Co_3O_4/Graphene Composites for High-Rate Supercapacitor Electrodes. Advanced Science, 5 (4). Art. No. 1700659. ISSN 2198-3844. PMCID PMC5908357. https://resolver.caltech.edu/CaltechAUTHORS:20180117-132455866

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Abstract

The metal oxides/graphene composites are one of the most promising supercapacitors (SCs) electrode materials. However, rational synthesis of such electrode materials with controllable conductivity and electrochemical activity is the topical challenge for high-performance SCs. Here, the Co_3O_4/graphene composite is taken as a typical example and develops a novel/universal one-step laser irradiation method that overcomes all these challenges and obtains the oxygen-vacancy abundant ultrafine Co_3O_4 nanoparticles/graphene (UCNG) composites with high SCs performance. First-principles calculations show that the surface oxygen vacancies can facilitate the electrochemical charge transfer by creating midgap electronic states. The specific capacitance of the UCNG electrode reaches 978.1 F g^(−1) (135.8 mA h g^(−1)) at the current densities of 1 A g^(−1) and retains a high capacitance retention of 916.5 F g^(−1) (127.3 mA h g^(−1)) even at current density up to 10 A g^(−1), showing remarkable rate capability (more than 93.7% capacitance retention). Additionally, 99.3% of the initial capacitance is maintained after consecutive 20 000 cycles, demonstrating enhanced cycling stability. Moreover, this proposed laser-assisted growth strategy is demonstrated to be universal for other metal oxide/graphene composites with tuned electrical conductivity and electrochemical activity.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/advs.201700659DOIArticle
http://onlinelibrary.wiley.com/doi/10.1002/advs.201700659/abstractPublisherArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908357PubMed CentralArticle
ORCID:
AuthorORCID
Liu, Yuanyue0000-0002-5880-8649
Goddard, William A., III0000-0003-0097-5716
Alternate Title:Oxygen-Vacancy Abundant Ultrafine Co3O4/Graphene Composites for High-Rate Supercapacitor Electrodes
Additional Information:© 2017 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Received: September 28, 2017; Revised: November 27, 2017; First published: 15 January 2018. This work is supported by NSFC (51702123, 51472110), Shandong Provincial Natural Science Foundation (ZR2016EMB05, ZR2017ZB0315), University of Jinan Science Foundation (No. XKY1630). S.Y. thanks the start-up research funding and B.C. thanks the Taishan Scholar Professorship both from University of Jinan. Y.L. thanks the startup support from UT Austin. This work used computational resources sponsored by the DOE's Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory, and the Texas Advanced Computing Center (TACC) at UT Austin. The authors declare no conflict of interest.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China51702123
National Natural Science Foundation of China51472110
Shandong Provincial Natural Science FoundationZR2016EMB05
Shandong Provincial Natural Science FoundationZR2017ZB0315
University of Jinan Science FoundationXKY1630
University of Texas at AustinUNSPECIFIED
Subject Keywords:graphene, laser irradiation, oxygen vacancies, supercapacitors, ultrafine Co3O4 nanoparticles
Other Numbering System:
Other Numbering System NameOther Numbering System ID
WAG1277
Issue or Number:4
PubMed Central ID:PMC5908357
Record Number:CaltechAUTHORS:20180117-132455866
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180117-132455866
Official Citation:S. H. Yang, Y. Y. Liu, Y. F. Hao, X. P. Yang, W. A. Goddard III, X. L. Zhang, B. Q. Cao, Adv. Sci. 2018, 5, 1700659. https://doi.org/10.1002/advs.535
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84364
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:17 Jan 2018 23:59
Last Modified:03 Oct 2019 19:17

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