Harnessing and Suppressing Electron Spin‐State Transitions: From Decoding to Rational Design of High‐Performance Cathodes for Alkali‐Ion Batteries

The electron spin state of transition metal ions represents a fundamental quantum property that is increasingly recognized as a pivotal design dimension for tuning the performance of cathode materials in Li/Na/K‑ion batteries. This review begins by consolidating the foundational principles through which spin states govern electrochemical properties, establishing a robust theoretical framework that bridges atomic-scale coordination environments with macroscopic electrode behavior. It further discusses advanced experimental and computational techniques for probing complex spin states and, critically, for establishing clear structure-spin-performance relationships. A central focus is placed on the rational design of spin configurations, whether via proactive engineering or suppression of unfavorable transitions, to optimize key electrochemical processes: modulating cationic vs. anionic redox competition, enhancing structural stability by mitigating Jahn-Teller distortions and magnetic frustration, and improving charge and ion transport. The review also highlights the emerging role of spin‑sensitive machine learning as an accelerated pathway for discovering superior cathode materials. By integrating theoretical insights, methodological advances, and application‑oriented studies, this work provides a comprehensive mechanistic framework and practical guidelines for the design of next‑generation high‑performance cathodes through deliberate spin‑state control.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-05-29
DOI
https://doi.org/10.1002/smll.73936
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Harnessing and Suppressing Electron Spin‐State Transitions: From Decoding to Rational Design of High‐Performance Cathodes for Alkali‐Ion Batteries

Junbao He, Yi Luo, Yuanyuan Wang, Shaonan Liu et al.
Small
Advancements in Battery Materials
article

Harnessing and Suppressing Electron Spin‐State Transitions: From Decoding to Rational Design of High‐Performance Cathodes for Alkali‐Ion Batteries

Junbao He, Yi Luo, Yuanyuan Wang, Shaonan Liu, Mengzhen Ma, Ya Yang, Tao Peng, Weiwei Sun, Yang Lu
article en

Abstract

The electron spin state of transition metal ions represents a fundamental quantum property that is increasingly recognized as a pivotal design dimension for tuning the performance of cathode materials in Li/Na/K‑ion batteries. This review begins by consolidating the foundational principles through which spin states govern electrochemical properties, establishing a robust theoretical framework that bridges atomic-scale coordination environments with macroscopic electrode behavior. It further discusses advanced experimental and computational techniques for probing complex spin states and, critically, for establishing clear structure-spin-performance relationships. A central focus is placed on the rational design of spin configurations, whether via proactive engineering or suppression of unfavorable transitions, to optimize key electrochemical processes: modulating cationic vs. anionic redox competition, enhancing structural stability by mitigating Jahn-Teller distortions and magnetic frustration, and improving charge and ion transport. The review also highlights the emerging role of spin‑sensitive machine learning as an accelerated pathway for discovering superior cathode materials. By integrating theoretical insights, methodological advances, and application‑oriented studies, this work provides a comprehensive mechanistic framework and practical guidelines for the design of next‑generation high‑performance cathodes through deliberate spin‑state control.

Small
Xinyang Normal University (CN), National University of Defense Technology (CN), Nanyang Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Henan Province, Nanhu Scholars Program for Young Scholars of Xinyang Normal University
Openalex Percentile: Top 9%
Advancements in Battery Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.