Toward General Design of Mn-Based Layered Oxide Cathodes for Sodium-Ion Batteries: From Thermodynamic Principles to Entropy Engineering
Li Dong, Xiang-Yu Qian, Jian Xiong, Yi-Han Zhang, Xing Wang, Jing-Yi Ding, Fa-Jia Zhang, Jia-Qi Shen, Qi-Rui Zhang, Yong-Gang Sun

TL;DR
This paper reviews strategies for designing stable Mn-based cathodes for sodium-ion batteries using thermodynamics and entropy engineering.
Contribution
The paper introduces a theory-guided framework combining thermodynamics, entropy engineering, and machine learning for cathode design.
Findings
High-entropy engineering suppresses phase transitions via configurational entropy stabilization.
Machine learning with multidimensional descriptors improves phase behavior predictions.
Controlled synthesis protocols enable targeted phase architectures like P2/O3 intergrowth.
Abstract
Mn-based layered oxide cathodes are pivotal for advancing sodium-ion batteries, yet their practical deployment is hindered by structural instability and complex phase transformations during cycling. This review provides a systematic overview of recent strategies aimed at rational design and performance enhancement of these materials. It begins with fundamental thermodynamic principles governing phase formation, particularly P2/O3 structural dichotomy, and highlights the critical roles of sodium content, transition metal chemistry, and ionic potential in determining crystal stability. The emergence of high-entropy engineering is examined as a powerful approach to suppress detrimental phase transitions through configurational entropy stabilization, lattice distortion, and synergistic multi-element interactions. Furthermore, the integration of machine learning with multidimensional…
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Taxonomy
TopicsAdvancements in Battery Materials · Thermal Expansion and Ionic Conductivity · Advanced battery technologies research
