{"title":"加速材料发现的理论和计算方法","authors":"N. Zarkevich","doi":"10.1142/S0217984921300039","DOIUrl":null,"url":null,"abstract":"Predicting properties of materials and phase transformation using theoretical and computational multi-scale methods involving artificial intelligence and machine learning (ML) is important and high...","PeriodicalId":9375,"journal":{"name":"Bulletin of the American Physical Society","volume":"55 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Theoretical and computational methods for accelerated materials discovery\",\"authors\":\"N. Zarkevich\",\"doi\":\"10.1142/S0217984921300039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Predicting properties of materials and phase transformation using theoretical and computational multi-scale methods involving artificial intelligence and machine learning (ML) is important and high...\",\"PeriodicalId\":9375,\"journal\":{\"name\":\"Bulletin of the American Physical Society\",\"volume\":\"55 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the American Physical Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0217984921300039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the American Physical Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0217984921300039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Theoretical and computational methods for accelerated materials discovery
Predicting properties of materials and phase transformation using theoretical and computational multi-scale methods involving artificial intelligence and machine learning (ML) is important and high...