{"title":"Neural Network Surrogate Models for Aerodynamic Analysis in Truck Platoons: Implications on Autonomous Freight Delivery","authors":"Tong Liu, Hadi Meidani","doi":"10.1016/j.ijtst.2024.02.002","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":"877 31","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.ijtst.2024.02.002","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
期刊介绍：
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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