Synergistic Optimization of Composition-Structure-Conductive Network for High-Performance Integrated Transition Metal Oxide Anodes for Lithium-Ion Batteries

Abstract

Transition metal oxides (TMOs) exhibit great potential as anodes for lithium-ion batteries due to their superior theoretical capacity. However, significant volumetric expansion and low electron/ion migration rate limit the practical applications of TMOs. In this work, we have developed a hierarchically porous MnO-rich CuMn bimetallic oxide electrode with an in-situ formed Cu conductive network(hpCM-CMO-Cu), which represents a promising solution to address these challenges. Benefiting from the synergistic optimization of composition -structure-conductive network, hpCM-CMO-Cu not only achieves high energy density but also demonstrates outstanding electrical conductivity and stability. Due to the exceptional capacity offered by manganese oxide, hpCM-CMO-Cu achieves a remarkable reversible capacity of 5.57 mAh cm-2 at 0.4 mA cm-2. The in-situ constructed conductive network and robust chemical bonding between oxide and substrate effectively prevent active material detachment and enhance electrode conductivity, enabling a high areal capacity of 4.38 mA h cm-2 at 1.0 mA cm-2 after 250 cycles. The abundant void spaces within the hierarchical porous structure effectively accommodate the volume expansion of oxides during cycling, exhibits negligible macroscopic swelling after 50 cycles. The cost-effective electrode design mitigates the intrinsic poor conductivity and substantial volume expansion of TMOs anodes, demonstrating significant potential for their commercialization in lithium-ion batteries.

Supplementary files

Article information

Article type
Paper
Submitted
24 Feb 2025
Accepted
09 May 2025
First published
12 May 2025

J. Mater. Chem. A, 2025, Accepted Manuscript

Synergistic Optimization of Composition-Structure-Conductive Network for High-Performance Integrated Transition Metal Oxide Anodes for Lithium-Ion Batteries

Q. Ma, J. Sha, B. Chen, E. Liu, C. Shi, L. Ma, F. He, C. He, N. Zhao and J. Kang, J. Mater. Chem. A, 2025, Accepted Manuscript , DOI: 10.1039/D5TA01525A

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