{"title":"First-principles calculations for the adsorption of lithium sulfide by zinc oxide","authors":"Jin-Ke Wei, Zhi-Xin Bai, Wei-Zeng, Zheng-Tang Liu, Cheng-Lu Jiang","doi":"10.1007/s00894-026-06935-w","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Lithium‒sulfur batteries (LSBs) are regarded as next-generation energy storage technologies owing to their high energy density; however, their practical application is constrained by the shuttle effect of lithium polysulfides (LiPSs), which leads to capacity degradation and safety concerns. This work focuses on the adsorption mechanism of Li₂S on ZnO and investigates the microscopic mechanism by which ZnO suppresses the shuttle effect through first-principles calculations. The results demonstrate that the adsorption energy of a Li₂S molecule on the ZnO (100) facet is negative (−1.67 eV), which is thermodynamically more favorable than that on the (111) facet (1.73 eV). The Li–O ionic bonds and S–Zn covalent bonds formed between the (111) facet and the Li₂S molecule exhibit stronger coupling than those on the (100) facet, resulting in stronger overall interfacial electronic interactions. Nevertheless, the deformation magnitude of the Li–S bond on the (111) facet (9%–14%) exceeds that on the (100) facet (less than 5%). The (100) facet achieves energetically superior stable adsorption through weak bonding and low deformation, whereas the (111) facet, despite stronger bonding, has a deformation energy that surpasses the energy released by bond formation, rendering it a thermodynamically metastable configuration. Evidently, ZnO strongly adsorbs Li₂S—the final product of the shuttle effect—thereby suppressing the shuttle effect to a certain extent.</p><h3>Methods</h3><p>In this study, first-principles calculations were performed via the Materials Studio software via density functional theory (DFT) via the generalized gradient approximation (GGA) with the PBE functional and the GGA-PBE + U approach. Ultrasoft pseudopotentials were employed to balance computational efficiency and accuracy. Crystal models of zinc oxide (ZnO) and Li₂S were constructed via the CASTEP code. The nonpolar (100) facet and polar (111) facet of ZnO were selected for Li₂S molecule adsorption, followed by structural optimization. The adsorption energy, electronic band structure, partial density of states (PDOS), charge density, Mulliken charge population, and chemical bond lengths were subsequently calculated.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"32 10","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00894-026-06935-w.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-026-06935-w","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
Lithium‒sulfur batteries (LSBs) are regarded as next-generation energy storage technologies owing to their high energy density; however, their practical application is constrained by the shuttle effect of lithium polysulfides (LiPSs), which leads to capacity degradation and safety concerns. This work focuses on the adsorption mechanism of Li₂S on ZnO and investigates the microscopic mechanism by which ZnO suppresses the shuttle effect through first-principles calculations. The results demonstrate that the adsorption energy of a Li₂S molecule on the ZnO (100) facet is negative (−1.67 eV), which is thermodynamically more favorable than that on the (111) facet (1.73 eV). The Li–O ionic bonds and S–Zn covalent bonds formed between the (111) facet and the Li₂S molecule exhibit stronger coupling than those on the (100) facet, resulting in stronger overall interfacial electronic interactions. Nevertheless, the deformation magnitude of the Li–S bond on the (111) facet (9%–14%) exceeds that on the (100) facet (less than 5%). The (100) facet achieves energetically superior stable adsorption through weak bonding and low deformation, whereas the (111) facet, despite stronger bonding, has a deformation energy that surpasses the energy released by bond formation, rendering it a thermodynamically metastable configuration. Evidently, ZnO strongly adsorbs Li₂S—the final product of the shuttle effect—thereby suppressing the shuttle effect to a certain extent.
Methods
In this study, first-principles calculations were performed via the Materials Studio software via density functional theory (DFT) via the generalized gradient approximation (GGA) with the PBE functional and the GGA-PBE + U approach. Ultrasoft pseudopotentials were employed to balance computational efficiency and accuracy. Crystal models of zinc oxide (ZnO) and Li₂S were constructed via the CASTEP code. The nonpolar (100) facet and polar (111) facet of ZnO were selected for Li₂S molecule adsorption, followed by structural optimization. The adsorption energy, electronic band structure, partial density of states (PDOS), charge density, Mulliken charge population, and chemical bond lengths were subsequently calculated.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.