{"title":"Boosting crystal structure prediction via symmetry","authors":"Yanchao Wang","doi":"10.1038/s43588-025-00779-9","DOIUrl":null,"url":null,"abstract":"Predicting stable crystal structures for complex systems that involve multiple elements or a large number of atoms presents a formidable challenge in computational materials science. A recent study presents an efficient crystal-structure search method for this task, utilizing symmetry and graph theory.","PeriodicalId":74246,"journal":{"name":"Nature computational science","volume":"5 3","pages":"192-193"},"PeriodicalIF":12.0000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature computational science","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43588-025-00779-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Predicting stable crystal structures for complex systems that involve multiple elements or a large number of atoms presents a formidable challenge in computational materials science. A recent study presents an efficient crystal-structure search method for this task, utilizing symmetry and graph theory.