{"title":"What can machine learning and the Hellmann-Feynman Theorem teach us about the limits of electron correlation?.","authors":"Joshua A. Rackers","doi":"10.2172/1884141","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":229152,"journal":{"name":"Proposed for presentation at the American Chemical Society Fall Meeting in , .","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proposed for presentation at the American Chemical Society Fall Meeting in , .","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2172/1884141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}