Literature DB >> 34072106

Magnetic and Transport Properties of New Dual-Phase High-Entropy Alloy FeRhIrPdPt.

Kohei Baba1, Naoki Ishizu1, Terukazu Nishizaki2, Jiro Kitagawa1.   

Abstract

High-entropy alloys (HEAs) are broadly explored from the perspective of mechanical, corrosion-resistance, catalytic, structural, superconducting, magnetic properties, and so on. In magnetic HEAs, 3d transition metals or rare-earth elements are well-studied compositional elements. We researched a magnetic HEA containing Fe combined with 4d and 5d transition metals, which has not been well investigated, and found a new dual-phase face-centered-cubic (fcc) HEA FeRhIrPdPt. The structural, magnetic, and transport properties were evaluated by assuming that FeRhIrPdPt is a mixture of FeRh4, FeIr4, FePd4, and FePt4, all with the fcc structure. The dual-phase is composed of a Rh- and Ir-rich main phase and a Pd- and Pt-rich minor one. FeRh4 and FeIr4 show spin freezings at low temperatures, while FePd4 and FePt4 are ferromagnetic. Two magnetic features can characterize FeRhIrPdPt. One is the canonical spin-glass transition at 90 K, and the other is a ferromagnetic correlation that appears below 300 K. The main and minor phases were responsible for the spin-glass transition and the ferromagnetic correlation below 300 K, respectively.

Entities:  

Keywords:  4d and 5d transition metals; Fe; dual-phase; high-entropy alloys; magnetic properties

Year:  2021        PMID: 34072106     DOI: 10.3390/ma14112877

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  4 in total

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Journal:  Phys Rev Lett       Date:  2007-04-20       Impact factor: 9.161

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Journal:  Science       Date:  2021-02-19       Impact factor: 47.728

3.  Highly efficient decomposition of ammonia using high-entropy alloy catalysts.

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Journal:  Nat Commun       Date:  2019-09-05       Impact factor: 14.919

4.  Tailoring the physical properties of Ni-based single-phase equiatomic alloys by modifying the chemical complexity.

Authors:  K Jin; B C Sales; G M Stocks; G D Samolyuk; M Daene; W J Weber; Y Zhang; H Bei
Journal:  Sci Rep       Date:  2016-02-01       Impact factor: 4.379

  4 in total
  1 in total

1.  High-throughput materials screening algorithm based on first-principles density functional theory and artificial neural network for high-entropy alloys.

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Journal:  Sci Rep       Date:  2022-10-05       Impact factor: 4.996

  1 in total

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