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Progress on High-Entropy Oxide Anode Materials for Advanced Lithium-Ion Batteries.
Chenyang Qiu1, Yanhong Li2, Xudong Zhao1
1College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin, P. R. China.
Chemsuschem
|February 23, 2026
Summary
High-entropy oxides (HEOs) show promise as advanced anodes for lithium-ion batteries (LIBs), offering improved stability and performance over traditional graphite. Further research is needed to overcome challenges and unlock their full potential.
Area of Science:
- Materials Science
- Electrochemistry
- Energy Storage
Background:
- Electric vehicles and energy storage demand advanced lithium-ion batteries (LIBs).
- Current graphite anodes have limitations in energy density, cycle life, and safety.
- Transition metal oxides offer higher capacity but suffer from volume expansion and poor conductivity.
Purpose of the Study:
- To review recent advancements in high-entropy oxides (HEOs) as anode materials for LIBs.
- To discuss the structural types, synthesis methods, and characterization of HEO anodes.
- To explore lithium storage mechanisms and identify challenges and future research directions for HEO anodes.
Main Methods:
- Literature review of recent research on HEO anodes for LIBs.
- Analysis of structural types, synthesis strategies, and characterization techniques for HEOs.
- Discussion of lithium storage mechanisms and performance limitations.
Main Results:
- HEO anodes demonstrate excellent structural stability and electrochemical reversibility due to unique properties like the high-entropy effect and sluggish diffusion.
- HEOs are emerging as promising alternatives to graphite and transition metal oxides for LIB anodes.
- Key challenges include low reversible capacity, initial coulombic efficiency, and complex reaction mechanisms.
Conclusions:
- HEO anodes offer significant potential for next-generation LIBs due to their inherent stability and electrochemical properties.
- Addressing challenges in capacity, efficiency, and mechanism understanding is crucial for practical application.
- Future research should leverage computational modeling, machine learning, and in situ characterization to advance HEO anode technology.
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