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Probing distribution and dynamics of lithium ions in supermolecule ß-CD-PEO/Li+ solid polymer electrolytes via solid-state NMR.
Song, Yi-Dan; Sun, Jianchao; Fu, Xiao-Bin; Yao, Ye-Feng.
Affiliation
  • Song YD; Physics Department & Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, North Zhongshan Road 3663, 200062 Shanghai, PR China.
  • Sun J; Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.
  • Fu XB; Physics Department & Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, North Zhongshan Road 3663, 200062 Shanghai, PR China; Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
  • Yao YF; Physics Department & Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, North Zhongshan Road 3663, 200062 Shanghai, PR China. Electronic address: yfyao@phy.ecnu.edu.cn.
J Magn Reson ; 350: 107426, 2023 May.
Article in En | MEDLINE | ID: mdl-37011464
ABSTRACT
In this work, the distribution and dynamics of Li+ ions in ß-CD-PEO/Li+ (ß-CD, ß-cyclodextrin; PEO, polyethylene-oxides) crystalline polymer electrolytes were investigated by solid-state NMR to enlighten the ionic conduction mechanism. Specifically, 7Li-6Li REDOR NMR and variable-contact-time 1H-6Li CP/MAS NMR were adopted for the study. The results demonstrate that Li+ ions coordinated by polymer chains have relatively compact spatial density and fast dynamics, which facilitate the improvement of the electrochemical properties. Additionally, the variation of the distribution and dynamics of the Li+ ions and the ionic conduction mechanism were studied and discussed by altering the amount of the Li+ ions. This work deepens our understanding of the distribution and dynamics of Li+ ions in ß-CD-PEO/Li+ crystals and demonstrates possible future applications of solid-state NMR on the study of the polymer electrolytes.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article