{"title":"神经网络方法对原子核质量的预言","authors":"Dachuan Tian, Shou-Jun Chen, Zhongming Niu","doi":"10.1360/sspma-2021-0301","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":44892,"journal":{"name":"Scientia Sinica-Physica Mechanica & Astronomica","volume":"55 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Sinica-Physica Mechanica & Astronomica","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1360/sspma-2021-0301","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
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