This work reveals enhanced catalytic efficiency for sulfur redox in Li-S batteries, indicating the role of p-p-s coupling and machine-learning.
A rational design principle for selecting optimal anion dopants in transition-metal compounds to enhance sulfur redox activity is lacking in Li-S batteries. Herein, we propose an accurate p-p-s orbital electronic coupling descriptor (involving the p-orbitals of anion dopants and anions in transition-metal compounds and the s-orbitals of Li in lithium polysulfides) as a criterion for choosing anion dopants to guide the development of efficient anion-doped Li-S catalysts through machine-learning, theoretical, and experimental validation. We reveal the relationship between the electronic properties of various anion-doped WSe₂ and the thermodynamics and kinetics of sulfur redox. Our findings show that moderate p-p-s orbital electronic coupling optimizes polysulfide adsorption, facilitating Li₂S nucleation and decomposition, thereby minimizing Gibbs free energy and maximizing catalytic efficiency for sulfur redox. A volcano relationship between the p-p-s coupling strength and catalytic activity is established. The optimal B-WSe₂/MXene catalyst achieves a ~ 3 Ah pouch cell with 430 Wh kg⁻¹ specific energy and good cycle life (81.3% capacity retention over 71 cycles). These findings provide a guideline for designing efficient anion-doped Li-S catalysts with moderate p-p-s coupling to enable rapid sulfur catalytic conversion in Li-S batteries.
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Wang et al. (2025) studied this question.
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