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説明:

A huge magnetoresistance (MR) ratio exceeding 2000% at cryogenic temperature that was reported for half-metallic Heusler alloy based magnetic tunnel junctions showed large degradation at room temperature, which impedes practical application of Heusler alloy based MR devices. This motivates us to explore alternative Heusler alloys that show high spin polarization at finite temperatures. Here, we propose half-metallic Heusler alloys based on finite-temperature first-principles calculation via the disordered local moment method together with machine learning. We found several prospective materials at room temperature such as Co2MnGa0.2As0.8 and Co2FeAl0.4Sn0.6. We also investigated two combinatorial series, Co2MnGayAs1-y and Co2FeAlySn1-y, to understand the effect of alloy mixing on temperature dependence and found that Fermi level tuning significantly improved the spin polarization and its temperature dependence, especially in Co2FeAlySn1-y.

権利情報:

• In Copyright
  

キーワード: spintronics, half-metal, Heusler alloy, machine learning, disordered local moment, Bayesian optimization

刊行年月日: 2022-09-14

出版者: American Physical Society (APS)

掲載誌:

• Physical Review Materials (ISSN: 24759953) L091402

研究助成金:

• JSPS and JST-CREST 17H06152, 20H02190, 22H04966, JPMJCR21O1

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1103/physrevmaterials.6.l091402

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更新時刻: 2024-01-05 22:14:00 +0900

MDRでの公開時刻: 2023-07-10 13:30:32 +0900