ReviewSmall (Weinheim an der Bergstrasse, Germany)2026
Harnessing and Suppressing Electron Spin-State Transitions: From Decoding to Rational Design of High-Performance Cathodes for Alkali-Ion Batteries.
Review in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
9 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.