{"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}
引用次数: 3
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...
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