{"title":"更正：利用深度集合神经网络预测小分子在终端设备上的溶解度","authors":"Mayk Caldas Ramos and Andrew D. White","doi":"10.1039/D4DD90020K","DOIUrl":null,"url":null,"abstract":"<p >Correction for ‘Predicting small molecules solubility on endpoint devices using deep ensemble neural networks’ by Mayk Caldas Ramos and Andrew D. White, <em>Digital Discovery</em>, 2024, <strong>3</strong>, 786–795, https://doi.org/10.1039/D3DD00217A.</p>","PeriodicalId":72816,"journal":{"name":"Digital discovery","volume":" 5","pages":" 1069-1070"},"PeriodicalIF":6.2000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2024/dd/d4dd90020k?page=search","citationCount":"0","resultStr":"{\"title\":\"Correction: Predicting small molecules solubility on endpoint devices using deep ensemble neural networks\",\"authors\":\"Mayk Caldas Ramos and Andrew D. White\",\"doi\":\"10.1039/D4DD90020K\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Correction for ‘Predicting small molecules solubility on endpoint devices using deep ensemble neural networks’ by Mayk Caldas Ramos and Andrew D. White, <em>Digital Discovery</em>, 2024, <strong>3</strong>, 786–795, https://doi.org/10.1039/D3DD00217A.</p>\",\"PeriodicalId\":72816,\"journal\":{\"name\":\"Digital discovery\",\"volume\":\" 5\",\"pages\":\" 1069-1070\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.rsc.org/en/content/articlepdf/2024/dd/d4dd90020k?page=search\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2024/dd/d4dd90020k\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital discovery","FirstCategoryId":"1085","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/dd/d4dd90020k","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
对 Mayk Caldas Ramos 和 Andrew D. White 的 "使用深度集合神经网络预测小分子在终端设备上的溶解度 "的更正，《数字发现》，2024 年 3 期，786-795，https://doi.org/10.1039/D3DD00217A。
Correction: Predicting small molecules solubility on endpoint devices using deep ensemble neural networks
Correction for ‘Predicting small molecules solubility on endpoint devices using deep ensemble neural networks’ by Mayk Caldas Ramos and Andrew D. White, Digital Discovery, 2024, 3, 786–795, https://doi.org/10.1039/D3DD00217A.
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