Duan Tengfei, Fan Dong, Ma Zhongyun, Pei Yong
Department of Chemistry, Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Applications of Ministry of Education, Xiangtan University, Hunan Province 411105, China.
State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming 650093, China.
Nanoscale. 2024 Mar 7;16(10):5352-5361. doi: 10.1039/d3nr06009h.
Atomic doping in catalysts is an effective strategy for adjusting their catalytic activity, which has recently been applied to promote sulfur reduction reactions (SRRs) on the cathode of lithium-sulfur (Li-S) batteries. Herein, the electrocatalytic SRR mechanism of eight metal atom (Ca, Ti, V, Cr, Mn, Fe, Co or Ni) doped Chevrel phase MoSe were investigated using density functional theory (DFT) calculations. The results reveal that the interaction between polysulfides and the catalyst mainly originates from the coupling of d and d orbitals of doped metals and the 3p orbitals of S. The Ti-doped MoSe system significantly reduces the overpotential of the SRR to only 0.21 V. After analyzing SRR processes over doped and undoped MoSe, no scalar relationship was found between the adsorption energies () of various polysulfides. Instead, a linear relationship is established between 4 - and overpotential. Finally, a linear relationship between overpotential and descriptors was established based on a machine learning (ML) method, which can accurately predict the overpotential of the SRR over the MoSe catalyst. This work provides new theoretical insights into the SRR mechanism over metal-selenides and the rational design of a catalyst for Li-S batteries.
催化剂中的原子掺杂是调节其催化活性的有效策略,最近已被应用于促进锂硫(Li-S)电池阴极上的硫还原反应(SRR)。在此,使用密度泛函理论(DFT)计算研究了八种金属原子(Ca、Ti、V、Cr、Mn、Fe、Co或Ni)掺杂的 Chevrel 相 MoSe 的电催化 SRR 机理。结果表明,多硫化物与催化剂之间的相互作用主要源于掺杂金属的 d 轨道和 S 的 3p 轨道的耦合。Ti 掺杂的 MoSe 体系将 SRR 的过电位显著降低至仅 0.21 V。在分析了掺杂和未掺杂 MoSe 上的 SRR 过程后,发现各种多硫化物的吸附能()之间不存在标度关系。相反,在 4 - 与过电位之间建立了线性关系。最后,基于机器学习(ML)方法建立了过电位与描述符之间的线性关系,该关系可以准确预测 MoSe 催化剂上 SRR 的过电位。这项工作为金属硒化物上的 SRR 机理以及 Li-S 电池催化剂的合理设计提供了新的理论见解。