N. Kiselyova, V. Dudarev, O. Senko, A. Dokukin, Yu Kuznetsova
{"title":"APPLICATION OF MACHINE LEARNING METHODS FOR THE DESIGN OF NEW INORGANIC COMPOUNDS PROMISING FOR ELECTRONICS","authors":"N. Kiselyova, V. Dudarev, O. Senko, A. Dokukin, Yu Kuznetsova","doi":"10.29003/m3062.mmmsec-2022/36-39","DOIUrl":null,"url":null,"abstract":"The possibilities and results of using machine learning methods for predicting the properties of new compounds for electronics are considered.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical modeling in materials science of electronic component","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29003/m3062.mmmsec-2022/36-39","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
The possibilities and results of using machine learning methods for predicting the properties of new compounds for electronics are considered.