Computational Materials Design of High-Entropy Alloys Based on Full Potential Korringa-Kohn-Rostoker Coherent Potential Approximation and Machine Learning Techniques

IF 1.2 4区 材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY
Kazunori Sato, G. Hayashi, Kazuma Ogushi, Shuichi Okabe, Katsuhiro Suzuki, T. Terai, T. Fukushima
{"title":"Computational Materials Design of High-Entropy Alloys Based on Full Potential Korringa-Kohn-Rostoker Coherent Potential Approximation and Machine Learning Techniques","authors":"Kazunori Sato, G. Hayashi, Kazuma Ogushi, Shuichi Okabe, Katsuhiro Suzuki, T. Terai, T. Fukushima","doi":"10.2320/matertrans.mt-mg2022012","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":18402,"journal":{"name":"Materials Transactions","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Transactions","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.2320/matertrans.mt-mg2022012","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
基于全势Korringa-Kohn-Rostoker相干势近似和机器学习技术的高熵合金计算材料设计
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Materials Transactions
Materials Transactions 工程技术-材料科学:综合
CiteScore
2.00
自引率
25.00%
发文量
205
审稿时长
2.7 months
期刊介绍: Information not localized
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信