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

Zhen Li, Dong Guo, Fan Li, Guangjin Hou, Xiaowei Liu, Chunyang Li, Li Cao, Ruicong Wei, Zongyao Zhou, Zhiping Lai

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.
Original languageEnglish (US)
JournalEnergy Storage Materials
StatePublished - May 4 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-05-10
Acknowledged KAUST grant number(s): BAS/1/1375-01, URF/1/3769-01
Acknowledgements: Financially supported by the KAUST baseline fund BAS/1/1375-01 and KAUST competitive research fund URF/1/3769-01.

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • General Materials Science


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