An Effective Single‐Atom Catalytic Descriptor for Accelerating Sulfur Reduction Reaction in Lithium‐Sulfur Batteries
The solid-solid Li<sub>2</sub>S<sub>2</sub>-to-Li<sub>2</sub>S transition represents a fundamental bottleneck in sulfur electrochemistry, critically governing reaction kinetics and energy efficiency in lithium-sulfur batteries (LSBs). While single-atom catalysts (SACs) show promise in modulating this process, the absence of intrinsic descriptors linking atomic-scale electronic properties to macroscopic catalytic performance has hindered rational catalyst design. Here, we establish a universal electronic descriptor, θ-χ, defined as the difference between the valence electron count (θ) and electronegativity (χ) of transition metal (TM) centers. This descriptor quantitatively correlates d-band modulation and interfacial charge redistribution with catalytic activity, circumventing the conventional reliance on polysulfide adsorption configurations. Systematic screening across 3d/4d-TM@nitrogen-doped graphene (NG) systems reveals a strong θ-χ dependence of the energy barriers for the Li<sub>2</sub>S<sub>2</sub>-to-Li<sub>2</sub>S conversion, with a correlation coefficient (R<sup>2</sup>) of about 0.90. Descriptor-guided screening not only identifies V@NG, Ti@NG, and Nb@NG as outperforming benchmark catalysts consistent with experimental validation but also uncovers the Mo@NG system, which exhibits superior catalytic activity. Notably, θ-χ exhibits transferability to sodium-sulfur batteries (NSBs), accurately predicting Na<sub>2</sub>S<sub>2</sub>-to-Na<sub>2</sub>S kinetics trends without requiring system-specific recalibration. This work marks a paradigm shift from configuration-dependent simulations to electronic-structure-driven catalyst design, providing atomic-level insights into sulfur electrochemistry for both LSBs and NSBs catalysts.
Authors
- Panpan Xu (ORCID: https://orcid.org/0000-0001-7277-9920)
- W. S. Chen
- Shuang Li (ORCID: https://orcid.org/0000-0003-1141-8827)
- Jiawei Han (ORCID: https://orcid.org/0009-0002-5255-4470)
- Ji‐Chang Ren
- Hui Xia
Institutions
- Nanjing University of Science and Technology (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2025-12-21
- DOI
- https://doi.org/10.1002/adma.202515380
- Citations
- 1
- Primary Topic
- Advanced Battery Materials and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73