Dynamic Reconstruction of Ion Transport Pathways by a Shape Memory Separator for Safer Lithium Metal Batteries

ABSTRACT Thermal safety is a key challenge for high‐energy lithium metal batteries. Conventional separators deform under overheating while sustaining ion transport, accelerating thermal runaway. Herein, we report an aramid‐supported shape memory separator that converts temperature rise into reconstruction of ion transport pathways. A covalently crosslinked PETMP‐TMPTA‐IBOA network is photopolymerized within a porous aramid scaffold. At normal operating temperatures, the interconnected pore structure affords an ionic conductivity of 0.29 mS cm −1 and enables stable Li plating/stripping for over 3000 h. At 140°C, the shape memory network undergoes thermomechanical rearrangement, constricting the percolating pores and increasing the ionic resistance by one order of magnitude. Meanwhile, the aramid scaffold preserves dimensional integrity up to 175°C and maintains electrode isolation after ionic shutdown. The separator is compatible with high‐energy NCM811 and Li‐rich Mn‐based oxide cathodes. In particular, a Li‐rich cathode with high mass loading of 16 mg cm −2 cycles stably for 100 cycles at 0.5 C, delivers nearly 250 mAh g −1 at 60°C, and remains operable up to 125°C. This work establishes thermomechanical reconstruction of ion transport pathways as a general design principle for intrinsically self‐protective lithium metal batteries that reconcile high energy operation with autonomous overheating protection.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-10-27
DOI
https://doi.org/10.1002/adfm.79326
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Reconstruction of Ion Transport Pathways by a Shape Memory Separator for Safer Lithium Metal Batteries

Bo Song, Zhenzhu Wang, X.C. Li, Wenqiang Lu et al.
Advanced Functional Materials
Advanced Battery Materials and Technologies
article

Dynamic Reconstruction of Ion Transport Pathways by a Shape Memory Separator for Safer Lithium Metal Batteries

Bo Song, Zhenzhu Wang, X.C. Li, Wenqiang Lu, Lizhi Li, Yuhan Feng, Wanlin Yang, Chaozhong Liu, Jiajin Xu, Weifan Li, Junzhuo Guo
article en

Abstract

ABSTRACT Thermal safety is a key challenge for high‐energy lithium metal batteries. Conventional separators deform under overheating while sustaining ion transport, accelerating thermal runaway. Herein, we report an aramid‐supported shape memory separator that converts temperature rise into reconstruction of ion transport pathways. A covalently crosslinked PETMP‐TMPTA‐IBOA network is photopolymerized within a porous aramid scaffold. At normal operating temperatures, the interconnected pore structure affords an ionic conductivity of 0.29 mS cm −1 and enables stable Li plating/stripping for over 3000 h. At 140°C, the shape memory network undergoes thermomechanical rearrangement, constricting the percolating pores and increasing the ionic resistance by one order of magnitude. Meanwhile, the aramid scaffold preserves dimensional integrity up to 175°C and maintains electrode isolation after ionic shutdown. The separator is compatible with high‐energy NCM811 and Li‐rich Mn‐based oxide cathodes. In particular, a Li‐rich cathode with high mass loading of 16 mg cm −2 cycles stably for 100 cycles at 0.5 C, delivers nearly 250 mAh g −1 at 60°C, and remains operable up to 125°C. This work establishes thermomechanical reconstruction of ion transport pathways as a general design principle for intrinsically self‐protective lithium metal batteries that reconcile high energy operation with autonomous overheating protection.

Advanced Functional Materials
Harbin Institute of Technology (CN)
Openalex Percentile: Top 24%
Advanced Battery Materials and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon