Junwei Sun, Rui Yu, Dominik Legut, Joseph S. Francisco, Ruifeng Zhang
{"title":"高稳定、高活性的单原子修饰S - MXene锂电池阴极催化剂的合理设计","authors":"Junwei Sun, Rui Yu, Dominik Legut, Joseph S. Francisco, Ruifeng Zhang","doi":"10.1002/adma.202501523","DOIUrl":null,"url":null,"abstract":"The practical application of Li‐S batteries is hindered by the shuttle effect and sluggish sulfur conversion kinetics. To address these challenges, this work proposes an efficient strategy by introducing single atoms (SAs) into sulfur‐functionalized MXenes (S‐MXenes) catalysts and evaluate their potential in Li‐S batteries through first‐principles calculations. Using high‐throughput screening of various SA‐modified S‐MXenes, this work identifies 73 promising candidates that exhibit exceptional thermodynamic and kinetic stability, along with the effective immobilization of polysulfides. Notably, the incorporation of Ni, Cu, or Zn as SAs into S‐MXenes results in a significant Gibbs free energy barrier reduction by 51%–75%, outperforming graphene‐based catalysts. This reduction arises from SA‐induced surface electron density that influences the adsorption energies of intermediates and thereby disrupts the scaling relations between Li₂S₂ and other key intermediates. Further enhancement in catalytic performance is achieved through strain engineering by shifting the d‐band center of metal atoms to higher energy levels, increasing the chemical affinity for intermediates. To elucidate the intrinsic adsorption properties of intermediates, this work develops a machine learning model with high accuracy (R<jats:sup>2</jats:sup> = 0.88), which underscores the pivotal roles of SA electronegativity and local coordination environment in determining adsorption strength, offering valuable insights for the rational design of catalysts.","PeriodicalId":114,"journal":{"name":"Advanced Materials","volume":"37 1","pages":""},"PeriodicalIF":27.4000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rational Design of Highly Stable and Active Single‐Atom Modified S‐MXene as Cathode Catalysts for Li‐S Batteries\",\"authors\":\"Junwei Sun, Rui Yu, Dominik Legut, Joseph S. Francisco, Ruifeng Zhang\",\"doi\":\"10.1002/adma.202501523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The practical application of Li‐S batteries is hindered by the shuttle effect and sluggish sulfur conversion kinetics. To address these challenges, this work proposes an efficient strategy by introducing single atoms (SAs) into sulfur‐functionalized MXenes (S‐MXenes) catalysts and evaluate their potential in Li‐S batteries through first‐principles calculations. Using high‐throughput screening of various SA‐modified S‐MXenes, this work identifies 73 promising candidates that exhibit exceptional thermodynamic and kinetic stability, along with the effective immobilization of polysulfides. Notably, the incorporation of Ni, Cu, or Zn as SAs into S‐MXenes results in a significant Gibbs free energy barrier reduction by 51%–75%, outperforming graphene‐based catalysts. This reduction arises from SA‐induced surface electron density that influences the adsorption energies of intermediates and thereby disrupts the scaling relations between Li₂S₂ and other key intermediates. Further enhancement in catalytic performance is achieved through strain engineering by shifting the d‐band center of metal atoms to higher energy levels, increasing the chemical affinity for intermediates. To elucidate the intrinsic adsorption properties of intermediates, this work develops a machine learning model with high accuracy (R<jats:sup>2</jats:sup> = 0.88), which underscores the pivotal roles of SA electronegativity and local coordination environment in determining adsorption strength, offering valuable insights for the rational design of catalysts.\",\"PeriodicalId\":114,\"journal\":{\"name\":\"Advanced Materials\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":27.4000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/adma.202501523\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/adma.202501523","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Rational Design of Highly Stable and Active Single‐Atom Modified S‐MXene as Cathode Catalysts for Li‐S Batteries
The practical application of Li‐S batteries is hindered by the shuttle effect and sluggish sulfur conversion kinetics. To address these challenges, this work proposes an efficient strategy by introducing single atoms (SAs) into sulfur‐functionalized MXenes (S‐MXenes) catalysts and evaluate their potential in Li‐S batteries through first‐principles calculations. Using high‐throughput screening of various SA‐modified S‐MXenes, this work identifies 73 promising candidates that exhibit exceptional thermodynamic and kinetic stability, along with the effective immobilization of polysulfides. Notably, the incorporation of Ni, Cu, or Zn as SAs into S‐MXenes results in a significant Gibbs free energy barrier reduction by 51%–75%, outperforming graphene‐based catalysts. This reduction arises from SA‐induced surface electron density that influences the adsorption energies of intermediates and thereby disrupts the scaling relations between Li₂S₂ and other key intermediates. Further enhancement in catalytic performance is achieved through strain engineering by shifting the d‐band center of metal atoms to higher energy levels, increasing the chemical affinity for intermediates. To elucidate the intrinsic adsorption properties of intermediates, this work develops a machine learning model with high accuracy (R2 = 0.88), which underscores the pivotal roles of SA electronegativity and local coordination environment in determining adsorption strength, offering valuable insights for the rational design of catalysts.
期刊介绍:
Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.