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Interconnected foams of helical carbon nanofibers grown with ultrahigh yield for high capacity sodium ion battery anodes.

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Title: Interconnected foams of helical carbon nanofibers grown with ultrahigh yield for high capacity sodium ion battery anodes.
Authors: Li, Mengya1, Carter, Rachel1, Cohn, Adam P.1, Pint, Cary L.1 cary.l.pint@vanderbilt.edu
Source: Carbon. Oct2016, Vol. 107, p109-115. 7p.
Subjects: Carbon nanofibers, Anodes, Sodium ions, Storage batteries, Carbon foams
Abstract: Here we demonstrate the growth of three-dimensional foams of defect-containing helical carbon nanofibers for application in efficient sodium ion battery anodes. Using pretreated Ni nanowire templates, over 3500% growth yield is observed for helical CNF foam materials, which can be directly incorporated into a sodium-ion battery anode. Our work demonstrates that the tortuous bends in helical CNFs provide a balance of nanodomains and defect sites that are responsible for high performance sodium storage. This includes sodium storage capacity exceeding 280 mAh/g at moderate rates of 100 mA/g with stable cycling performance over 200 cycles. Raman spectroscopic analysis during sodiation sheds insight into storage behavior of this material that confirms defect and nanopore mediated storage over the formation of an ordered intercalation compound. This work presents an intersection between the large-scale controlled growth science of carbon nanostructures and carbon materials optimized for efficient sodium storage applications. [ABSTRACT FROM AUTHOR]
Copyright of Carbon is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Carbon%22">Carbon</searchLink>. Oct2016, Vol. 107, p109-115. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Carbon+nanofibers%22">Carbon nanofibers</searchLink><br /><searchLink fieldCode="DE" term="%22Anodes%22">Anodes</searchLink><br /><searchLink fieldCode="DE" term="%22Sodium+ions%22">Sodium ions</searchLink><br /><searchLink fieldCode="DE" term="%22Storage+batteries%22">Storage batteries</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+foams%22">Carbon foams</searchLink>
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  Data: Here we demonstrate the growth of three-dimensional foams of defect-containing helical carbon nanofibers for application in efficient sodium ion battery anodes. Using pretreated Ni nanowire templates, over 3500% growth yield is observed for helical CNF foam materials, which can be directly incorporated into a sodium-ion battery anode. Our work demonstrates that the tortuous bends in helical CNFs provide a balance of nanodomains and defect sites that are responsible for high performance sodium storage. This includes sodium storage capacity exceeding 280 mAh/g at moderate rates of 100 mA/g with stable cycling performance over 200 cycles. Raman spectroscopic analysis during sodiation sheds insight into storage behavior of this material that confirms defect and nanopore mediated storage over the formation of an ordered intercalation compound. This work presents an intersection between the large-scale controlled growth science of carbon nanostructures and carbon materials optimized for efficient sodium storage applications. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Carbon is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.carbon.2016.05.051
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 109
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        Type: general
      – SubjectFull: Anodes
        Type: general
      – SubjectFull: Sodium ions
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      – SubjectFull: Storage batteries
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              Text: Oct2016
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