Stress-homogenized spatial architectures via entropy-driven self-assembly enabling high-performance and durable lithium extraction

The global transition to sustainable energy demands efficient lithium extraction from brines. While electrochemical lithium extraction using LiMn<sub>2</sub>O<sub>4</sub> (LMO) holds great promise, its practical application is hindered by mechanical degradation caused by anisotropic volume changes and stress accumulation during cycling. Herein, we present an entropy-driven amphiphilic self-assembly strategy that engineers stress-homogenized multilayer core-shell architectures, which innovatively mitigates stress accumulation by tuning the internal geometric structure to optimize stress-strain behavior, thereby synergistically enhancing ion distribution, transport kinetics, and electrochemical stability. This hierarchical interlayer architecture ensures uniform Li<sup>+</sup> distribution and redistributes internal stresses, mitigating localized stress concentrations and lattice expansion to preserve structural integrity throughout cycling. The optimized LMO establishes a dual benchmark for both capacity and cycling stability in hybrid capacitive deionization, achieving a remarkable lithium extraction capacity of 4.78 mmol g<sup>-1</sup> with 96% retention over 100 cycles, outperforming both its unoptimized counterpart and other reported materials of the same type. Finite element simulations further elucidate a 48% reduction in maximum stress compared to disordered counterparts, underscoring the critical coupling between ion diffusion and stress evolution. This paradigm provides a pathway for developing advanced materials with intrinsically stable architectures for sustainable lithium extraction.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-01-26
DOI
https://doi.org/10.1073/pnas.2525797123
Primary Topic
Extraction and Separation Processes
Type
article
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article

Stress-homogenized spatial architectures via entropy-driven self-assembly enabling high-performance and durable lithium extraction

Xiaoqian Liu, Zewei Hao, Tongcai Liu, Yong Zhang et al.
Proceedings of the National Academy of Sciences
Extraction and Separation Processes
article

Stress-homogenized spatial architectures via entropy-driven self-assembly enabling high-performance and durable lithium extraction

Xiaoqian Liu, Zewei Hao, Tongcai Liu, Yong Zhang, Xuefei Zhou, Qipeng Zhao, Huaqiang Chu
article en

Abstract

The global transition to sustainable energy demands efficient lithium extraction from brines. While electrochemical lithium extraction using LiMn<sub>2</sub>O<sub>4</sub> (LMO) holds great promise, its practical application is hindered by mechanical degradation caused by anisotropic volume changes and stress accumulation during cycling. Herein, we present an entropy-driven amphiphilic self-assembly strategy that engineers stress-homogenized multilayer core-shell architectures, which innovatively mitigates stress accumulation by tuning the internal geometric structure to optimize stress-strain behavior, thereby synergistically enhancing ion distribution, transport kinetics, and electrochemical stability. This hierarchical interlayer architecture ensures uniform Li<sup>+</sup> distribution and redistributes internal stresses, mitigating localized stress concentrations and lattice expansion to preserve structural integrity throughout cycling. The optimized LMO establishes a dual benchmark for both capacity and cycling stability in hybrid capacitive deionization, achieving a remarkable lithium extraction capacity of 4.78 mmol g<sup>-1</sup> with 96% retention over 100 cycles, outperforming both its unoptimized counterpart and other reported materials of the same type. Finite element simulations further elucidate a 48% reduction in maximum stress compared to disordered counterparts, underscoring the critical coupling between ion diffusion and stress evolution. This paradigm provides a pathway for developing advanced materials with intrinsically stable architectures for sustainable lithium extraction.

Proceedings of the National Academy of SciencesVol. 123(5)
Tongji University (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), Fuzhou University (CN)
Openalex Percentile: Top 77%
Extraction and Separation Processes
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