{"title":"通过对称增强晶体结构预测。","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":"{\"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}","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}
Boosting crystal structure prediction via symmetry
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.