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DOI 10.1002/smtd.202501946

Медицинская библиотека · Small methods · 2026

Dynamic Charge Redistribution Induced by Atomic Escape for Enhanced Polysulfide Regulation and Sulfur Redox Kinetics.

Zhang Ruili, Hu Yanwen, Cheng Zhiwei, Zhong Jiayi, Zhang Jun, Wu Ju, Li Hongbao, Gao Shan

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Аннотация

Sub-nanocatalysts still face the challenge of spatially inconsistent catalytic centers in suppressing lithium polysulfide (LiPS) shuttling and accelerating redox kinetics. To address this, we developed a carbon-confined thermal evolution strategy that converts vanadium clusters (V Cs) into high-density isolated single atoms (V SAs). This work is the first to demonstrate a top-down charge redistribution through atomic escape that dynamically eliminates low-charge-density regions, constructing highly efficient and uniform catalytic centers. Density functional theory (DFT) calculations reveal that the resulting high-charge-density V SAs exhibit superior LiPS adsorption (-0.82 eV toward Li2S6) and reduced Li2S nucleation barriers (-0.54 eV), drastically outperforming V Cs (-2.80 eV; 5.66 eV). Furthermore, in-situ characterization analysis directly validates the enhanced polysulfide anchoring capability and accelerated reaction kinetics. When incorporated into battery separators, the V SAs enable a high initial capacity (1527 mAh g-1) and ultralong stability (0.047% decay/cycle over 1000 cycles). Notably, under practical conditions, the system maintains 96% capacity retention after 100 cycles (5.2 mg cm-2 sulfur loading) and the high output capacity of 1071.9 mAh g-1 (pouch-cell configuration), demonstrating exceptional commercialization potential. This work establishes an atomic-level structure-charge density relationship and provides a universal design principle for advanced catalytic materials in energy storage.

Для цитирования: Zhang Ruili, Hu Yanwen, Cheng Zhiwei, Zhong Jiayi, Zhang Jun, Wu Ju, Li Hongbao, Gao Shan. Dynamic Charge Redistribution Induced by Atomic Escape for Enhanced Polysulfide Regulation and Sulfur Redox Kinetics.. Small methods. 2026. DOI: 10.1002/smtd.202501946.
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