• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Nerve Network-Inspired Solid Polymer Electrolytes (NN-SPE) for Fast and Single-Ion Lithium Conduction

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    1-s2.0-S2405829722002392-main.pdf
    Size:
    1.622Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
    Embargo End Date:
    2023-05-04
    Download
    Thumbnail
    Name:
    1-s2.0-S2405829722002392-mmc1.docx
    Size:
    2.609Mb
    Format:
    Microsoft Word 2007
    Description:
    Supplementary material
    Embargo End Date:
    2023-05-04
    Download
    Thumbnail
    Name:
    1-s2.0-S2405829722002392-ga1_lrg.jpg
    Size:
    219.6Kb
    Format:
    JPEG image
    Description:
    Graphical abstract
    Image viewer
    Download
    Type
    Article
    Authors
    Li, Zhen cc
    Guo, Dong cc
    Li, Fan
    Hou, Guangjin
    Liu, Xiaowei cc
    Li, Chunyang
    Cao, Li cc
    Wei, Ruicong
    Zhou, Zongyao cc
    Lai, Zhiping cc
    KAUST Department
    Advanced Membranes and Porous Materials Research Center
    Material Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    KAUST Catalysis Center (KCC)
    Environmental Science and Engineering
    Biological and Environmental Science and Engineering (BESE) Division
    Chemical Engineering Program
    KAUST Grant Number
    BAS/1/1375-01
    URF/1/3769-01
    Date
    2022-05-04
    Embargo End Date
    2023-05-04
    Permanent link to this record
    http://hdl.handle.net/10754/676681
    
    Metadata
    Show full item record
    Abstract
    The low lithium-ion conductivity is current the bottleneck in developing solid-state electrolytes (SSEs) that are expected to be a key component in the next generation of lithium batteries. Inspired by the high connectivity of the biological nerve network, we designed a mimic architecture inside a polymer electrolyte to provide fast lithium-ion pathways. Detailed experimental and simulation studies revealed that the mimic nerve network could efficiently form the bi-continuous structure at very low percolation threshold, and rendered an unprecedentedly non-linear increment by order of magnitudes in the lithium-ion conductivity, with a superior lithium-ion conductivity up to 0.12 mS•cm−1, transference number up to 0.974 and robust mechanical strength of 10.3 MPa. When applied in lithium metal batteries, good rate and cycling performance were achieved at both room and elevated temperatures.
    Citation
    Li, Z., Guo, D., Li, F., Hou, G., Liu, X., Li, C., Cao, L., Wei, R., Zhou, Z., & Lai, Z. (2022). Nerve Network-Inspired Solid Polymer Electrolytes (NN-SPE) for Fast and Single-Ion Lithium Conduction. Energy Storage Materials. https://doi.org/10.1016/j.ensm.2022.05.003
    Sponsors
    Financially supported by the KAUST baseline fund BAS/1/1375-01 and KAUST competitive research fund URF/1/3769-01.
    Publisher
    Elsevier BV
    Journal
    Energy Storage Materials
    DOI
    10.1016/j.ensm.2022.05.003
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S2405829722002392
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ensm.2022.05.003
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Advanced Membranes and Porous Materials Research Center; Physical Science and Engineering (PSE) Division; Chemical Engineering Program; Material Science and Engineering Program; KAUST Catalysis Center (KCC)

    entitlement

     
    DSpace software copyright © 2002-2022  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.