Conducting-Polymer-Coated Nanocellulose Enabling Dual-Gradient Thick Electrodes for Redox-Homogeneous Ultrahigh-Areal-Capacity Li-Ion Batteries

Abstract

High-areal-capacity thick electrodes are essential for enhancing the energy density of lithium-ion batteries, yet their deployment is limited by redox heterogeneity caused by sedimentation-induced material segregation during electrode thickening. Here, we overcome this challenge by constructing a sedimentation-guided, redox-homogeneous thick electrode enabled by conducting polymer-coated nanocellulose. Unlike intrinsically insulating nanocellulose, this modified nanocellulose combines high electronic conductivity with enhanced ion transport, thereby unifying the roles of binder, conductive additive, and mechanical scaffold into a single-phase network. This eliminates binder/carbon domain inhomogeneity characteristic of conventional nanocellulose-based systems and transforms sedimentation from a fabrication challenge into a structural design advantage. The resulting thick paper electrodes exhibit an active material-porosity dual-gradient structure, in which active materials are densely and uniformly embedded within an interconnected conductive nanocellulose matrix, supporting fast, bicontinuous ion/electron transport and spatially uniform Li+ flux and current density. Using LiFePO4 as a model, the electrodes deliver record-high areal and volumetric capacities of 16.7 mAh cm−2 and 431.9 mAh cm−3, respectively, at a loading of 110 mg cm−2 and density of 2.9 g cm−3. This strategy not only redefines sedimentation as a tool for electrode engineering but also expands the functionality of sustainable cellulose materials for next-generation high-energy batteries.

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Article information

Article type
Paper
Submitted
11 Mar 2026
Accepted
15 Jun 2026
First published
16 Jun 2026

Energy Environ. Sci., 2026, Accepted Manuscript

Conducting-Polymer-Coated Nanocellulose Enabling Dual-Gradient Thick Electrodes for Redox-Homogeneous Ultrahigh-Areal-Capacity Li-Ion Batteries

N. Chen, S. Xie, J. Deng, Z. Yuan, K. K. Guo, Z. Guo, C. Chen, Y. Ma, W. Chen and Z. Wang, Energy Environ. Sci., 2026, Accepted Manuscript , DOI: 10.1039/D6EE01622G

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