J. Goldsby, S. Raj, S. Guruswamy, Daniel David Azbill
{"title":"First-Principle and Experimental Study of a Gadolinium-Praseodymium-Cobalt Pseudobinary Intermetallic Compound","authors":"J. Goldsby, S. Raj, S. Guruswamy, Daniel David Azbill","doi":"10.1155/2015/753612","DOIUrl":null,"url":null,"abstract":"First-principles methods were used to determine the magnetic state of a simulated cobalt-based binary alloy (Gd,Pr)Co17 along with its corresponding lattice parameters and density. The resulting composition was fabricated using two methods arc-melting and induction-melting and compared with the calculated values. The induction-melted samples showed greater homogeneity and successfully produced the R2Co17 structure. Calculated values qualitatively predict ferromagnetic behavior and lattice parameters to be within a low percent. The development of magnetic alloys with the assistance of computational methods promises faster development of new functional materials.","PeriodicalId":17611,"journal":{"name":"Journal: Materials","volume":"31 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal: Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2015/753612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
First-principles methods were used to determine the magnetic state of a simulated cobalt-based binary alloy (Gd,Pr)Co17 along with its corresponding lattice parameters and density. The resulting composition was fabricated using two methods arc-melting and induction-melting and compared with the calculated values. The induction-melted samples showed greater homogeneity and successfully produced the R2Co17 structure. Calculated values qualitatively predict ferromagnetic behavior and lattice parameters to be within a low percent. The development of magnetic alloys with the assistance of computational methods promises faster development of new functional materials.