{"title":"Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time","authors":"Adam P. Liebendorfer","doi":"10.1063/10.0028327","DOIUrl":null,"url":null,"abstract":"Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.","PeriodicalId":487052,"journal":{"name":"Scilight","volume":"29 44","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scilight","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1063/10.0028327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.