Year: 2026
Type: article
Abstract: Elucidating the mechanisms governing sulfur redox reactions is critical for the development of high-energy-density lithium-sulfur (Li-S) batteries. Despite progress, the kinetics of the solid-solid conversion from Li2S2 to Li2S remain poorly understood. Here we show that spin-state transitions within reaction intermediates are the principal source of the sluggish kinetics. Guided by density functional theory and machine-learning-assisted catalyst screening, we have found a negative correlation between the spin moment of the catalyst and the Gibbs free energy barrier for the Li2S2 to Li2S conversion. Among a series of dual-metal doped catalysts, a Co,Ni-MoS2 catalyst, with its exceptional spin moment, effectively regulates the spin states of the reactants, reducing the high reaction energy barrier associated with spin-state transitions. Therefore, Li-S batteries incorporating with the Co,Ni-MoS2 showed accelerated sulfur conversion, particularly during solid-solid transitions, effectively suppressed polysulfide shuttling, and had excellent electrochemical performance. A prototype Li-S pouch cell achieved a capacity exceeding 13.2 Ah and an energy density of 435 Wh kg-1. These findings show critical insights into the role of spin moments in sulfur conversion, providing a way to design efficient and durable catalysts for Li-S batteries.
Source: Nature Communications
Institutions: University of Macau, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Prince Mohammad bin Fahd University, Agency for Science, Technology and Research, Changsha Mining and Metallurgy Research Institute (China), Fuzhou University, University of Science and Technology of China, Anhui University of Technology, Institute of Metal Research, Shenzhen University of Advanced Technology, Shenyang National Laboratory for Materials Science
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,990
OpenAlex ID: W7140197098
