{"title":"AI揭示金属支撑相互作用原理,优化催化剂设计","authors":"Haobo Li","doi":"10.1016/j.checat.2024.101231","DOIUrl":null,"url":null,"abstract":"Metal-support catalysts are a cornerstone of and arguably the most widely used type in heterogeneous catalysis. In a recent issue of <em>Science</em>, Li and coworkers, with the assistance of advanced AI technology, developed a general theory of metal-support interaction principles, offering valuable insights to guide the design of supported metal catalysts.","PeriodicalId":53121,"journal":{"name":"Chem Catalysis","volume":"29 1","pages":""},"PeriodicalIF":11.5000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI unveils metal-support interaction principle to optimize catalyst design\",\"authors\":\"Haobo Li\",\"doi\":\"10.1016/j.checat.2024.101231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metal-support catalysts are a cornerstone of and arguably the most widely used type in heterogeneous catalysis. In a recent issue of <em>Science</em>, Li and coworkers, with the assistance of advanced AI technology, developed a general theory of metal-support interaction principles, offering valuable insights to guide the design of supported metal catalysts.\",\"PeriodicalId\":53121,\"journal\":{\"name\":\"Chem Catalysis\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2025-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chem Catalysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.checat.2024.101231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chem Catalysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.checat.2024.101231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
AI unveils metal-support interaction principle to optimize catalyst design
Metal-support catalysts are a cornerstone of and arguably the most widely used type in heterogeneous catalysis. In a recent issue of Science, Li and coworkers, with the assistance of advanced AI technology, developed a general theory of metal-support interaction principles, offering valuable insights to guide the design of supported metal catalysts.
期刊介绍:
Chem Catalysis is a monthly journal that publishes innovative research on fundamental and applied catalysis, providing a platform for researchers across chemistry, chemical engineering, and related fields. It serves as a premier resource for scientists and engineers in academia and industry, covering heterogeneous, homogeneous, and biocatalysis. Emphasizing transformative methods and technologies, the journal aims to advance understanding, introduce novel catalysts, and connect fundamental insights to real-world applications for societal benefit.