Magnetic cluster expansion model for random and ordered magnetic face-centered cubic Fe-Ni-Cr alloys
M.yu. Lavrentiev , Jan Wróbel , Duc Nguyen-Manh , Sergei Dudarev , M. G. Ganchenkova
AbstractA Magnetic Cluster Expansion model for ternary face-centered cubic Fe-Ni-Cr alloys has been developed, using DFT data spanning binary and ternary alloy configurations. Using this Magnetic Cluster Expansion model Hamiltonian, we perform Monte Carlo simulations and explore magnetic structures of alloys over the entire range of compositions, considering both random and ordered alloy structures. In random alloys, the removal of magnetic collinearity constraint reduces the total magnetic moment but does not affect the predicted range of compositions where the alloys adopt low-temperature ferromagnetic configurations. During alloying of ordered fcc Fe-Ni compounds with Cr, chromium atoms tend to replace nickel rather than iron atoms. Replacement of Ni by Cr in ordered alloys with high iron content increases the Curie temperature of the alloys. This can be explained by strong antiferromagnetic Fe-Cr coupling, similar to that found in bcc Fe-Cr solutions, where the Curie temperature increase, predicted by simulations as a function of Cr concentration, is confirmed by experimental observations. In random alloys, both magnetization and the Curie temperature decrease abruptly with increasing chromium content, in agreement with experiment.
|Journal series||Journal of Applied Physics, ISSN 0021-8979|
|Publication size in sheets||0.5|
|Keywords in Polish||Nikiel, momenty magnetyczne, temperatura Curie, teoria funkcjonału gęstości , chrom|
|Keywords in English||Nickel, magnetic moments, Curie point, density functional theory, chromium|
|Score|| = 30.0, 26-11-2020, ArticleFromJournal|
= 35.0, 26-11-2020, ArticleFromJournal
|Publication indicators||= 9; = 13.0; = 8; : 2016 = 0.998; : 2016 = 2.068 (2) - 2016=2.103 (5)|
|Citation count*||13 (2020-12-04)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.