Nils Persson, Michael McBride, E. Reichmanis, M. Grover
{"title":"Machine Learning Approaches for Extracting Process–Structure–Property Relationships from Experimental Data and Literature","authors":"Nils Persson, Michael McBride, E. Reichmanis, M. Grover","doi":"10.1142/9789811204555_0002","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":318116,"journal":{"name":"Handbook on Big Data and Machine Learning in the Physical Sciences","volume":" 35","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook on Big Data and Machine Learning in the Physical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789811204555_0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}