Machine learning-accelerated discovery of multi-cation entropy-stabilized NASICON solid electrolytes with 10,000 hours of stable Na plating/stripping for all-solid-state sodium batteries

Daxian Zuo; Jiaming Tian; Yu Sun; Xin Yu; Bo Peng; Tao Yu; Chengrong Xu; Xiang-Qun Xu; Yigang Wang; Yiwen Liu; Tianze Shi; Yinhui Feng; Jie Yang; Haoshen Zhou; Shaohua Guo

doi:10.1039/d5ee06594a

January 1, 2026Energy & Environmental ScienceOpen Access

Machine learning-accelerated discovery of multi-cation entropy-stabilized NASICON solid electrolytes with 10,000 hours of stable Na plating/stripping for all-solid-state sodium batteries

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Key Points

This research aims to discover and optimize multi-cation entropy-stabilized solid-state electrolytes for sodium batteries.
Utilized machine learning algorithms to explore compositions of entropy-stabilized materials.
Assessed stability and performance of newly discovered electrolytes over 10,000 hours of sodium plating/stripping.
Analyzed compositional space to determine optimal cation combinations.
Identified several new solid-state electrolytes with enhanced stability for sodium batteries.
Demonstrated 10,000 hours of stable sodium plating/stripping with select materials.
Validated the role of multi-cation strategies in improving battery performance.

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Implication

Machine learning uncovers stable solid-state electrolytes for sodium batteries, highlighting new design strategies.

Abstract

The application of medium-/high-entropy materials has revolutionized the design of solid-state electrolytes (SSEs) by stabilizing single-phase solutions from otherwise incompatible elements. However, navigating the vast compositional space of entropy-stabilized materials...

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Zuo et al. (2026) studied this question.

synapsesocial.com/papers/696c789ceb60fb80d1396cae https://doi.org/10.1039/d5ee06594a

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Machine learning-accelerated discovery of multi-cation entropy-stabilized NASICON solid electrolytes with 10,000 hours of stable Na plating/stripping for all-solid-state sodium batteries

Key Points

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Implication

Abstract

Discussion

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Machine learning-accelerated discovery of multi-cation entropy-stabilized NASICON solid electrolytes with 10,000 hours of stable Na plating/stripping for all-solid-state sodium batteries

Key Points

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Implication

Abstract

Discussion

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