Designing Poly(ionic liquid)s as High-Performance LiFePO4 Binders via Mechanistic Study and ML-Assisted Structure-Property Analysis
Journal article, 2026

Conventional LiFePO4 (LFP) cathodes employing poly(vinylidene fluoride) (PVDF) as binder exhibit relatively stable cycling performance but suffer from poor ionic conductivity, limited rate capability, restricted cycling stability at high current densities, as well as environmental concerns about the high fluorine content of PVDF. Here, we introduce an anion-cluster-mediated Li+ hopping mechanism in a series of newly synthesized and multifunctional poly(ionic liquid) (PIL) binders that can enable high-rate performance with an accelerated Li+ transport by 140-200%, meanwhile reducing the fluorine content by 60%. The counteranion aggregation along the PIL backbones can attract and promote the Li+ migration based on comprehensive validation of nuclear magnetic resonance spectroscopy, cyclic voltammetry and molecular dynamics simulations. The optimized LFP-PIL cathodes deliver superior high-rate performance (a capacity of 100 mAhg-1 at 15C) and cycling stability (95.5% capacity retention after 500 cycles at 5C). Furthermore, by integrating the chemistry-informed machine learning with experimental validation, we establish a molecular structure design methodology for next-generation PIL binders. This work provides both mechanistic insight and a generalizable design framework for high-performance and sustainable lithium cathode materials.

machine learning

LFP cathode binder

Poly(ionic liquid)s

lithiumbattery

cheminformatics

Author

Zhiqi Chen

Fudan University

Feng Chen

Donghua University

Jifeng Wang

Fudan University

Kai Li

Fudan University

Sadaf Saeedi Garakani

Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry

Jiazhe Ju

Fudan University

Jiayin Yuan

Stockholm University

Weiyi Zhang

Donghua University

Ying Wang

Fudan University

ACS Applied Materials & Interfaces

1944-8244 (ISSN) 1944-8252 (eISSN)

Vol. 18 5 8816-8830

Subject Categories (SSIF 2025)

Materials Chemistry

Inorganic Chemistry

DOI

10.1021/acsami.5c22123

PubMed

41608954

More information

Latest update

2/26/2026