Tunable anisotropy of co-based nanocomposites for magnetic field sensing and inductor applications

Leary, Alex M.; Ohodnicki, Paul R.; McHenry, Michael E.; Keylin, Vladimir; Huth, Joseph; Kernion, Samuel J.

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Title: Tunable anisotropy of co-based nanocomposites for magnetic field sensing and inductor applications

Abstract

A method includes producing an amorphous precursor to a nanocomposite, the amorphous precursor comprising a material that is substantially without crystals not exceeding 20% volume fraction; performing devitrification of the amorphous precursor, wherein the devitrification comprises a process of crystallization; forming, based on the devitrification, the nanocomposite with nano-crystals that contains an induced magnetic anisotropy; tuning, based on one or more of composition, temperature, configuration, and magnitude of stress applied during annealing and modification, the magnetic anisotropy of the nanocomposite; and adjusting, based on the tuned magnetic anisotropy, a magnetic permeability of the nanocomposite.

Inventors:: Leary, Alex M.; Ohodnicki, Paul R.; McHenry, Michael E.; Keylin, Vladimir; Huth, Joseph; Kernion, Samuel J.

Issue Date:: 2023-03-21

Research Org.:: Carnegie Mellon Univ., Pittsburgh, PA (United States)

Sponsoring Org.:: USDOE; US Army Research Office (ARO)

OSTI Identifier:: 1987238

Patent Number(s):: 11609281

Application Number:: 16/190,656

Assignee:: Carnegie Mellon University (Pittsburgh, PA)

Patent Classifications (CPCs):: G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES

H - ELECTRICITY H01 - BASIC ELECTRIC ELEMENTS H01F - MAGNETS

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G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
G01R33/0052 - {Manufacturing aspects
G01R33/02 - Measuring direction or magnitude of magnetic fields or magnetic flux

H - ELECTRICITY H01 - BASIC ELECTRIC ELEMENTS H01F - MAGNETS
H01F1/15333 - {containing nanocrystallites, e.g. obtained by annealing}
H01F41/0226 - {from amorphous ribbons}

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DOE Contract Number:: AR0000219; W911NF-08-2-0024

Resource Type:: Patent

Resource Relation:: Patent File Date: 11/14/2018

Country of Publication:: United States

Language:: English

Citation Formats


                    Leary, Alex M., Ohodnicki, Paul R., McHenry, Michael E., Keylin, Vladimir, Huth, Joseph, and Kernion, Samuel J. Tunable anisotropy of co-based nanocomposites for magnetic field sensing and inductor applications.  United States: N. p., 2023. 
        Web.

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                    Leary, Alex M., Ohodnicki, Paul R., McHenry, Michael E., Keylin, Vladimir, Huth, Joseph, & Kernion, Samuel J. Tunable anisotropy of co-based nanocomposites for magnetic field sensing and inductor applications.  United States.

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                    Leary, Alex M., Ohodnicki, Paul R., McHenry, Michael E., Keylin, Vladimir, Huth, Joseph, and Kernion, Samuel J. Tue .  
        "Tunable anisotropy of co-based nanocomposites for magnetic field sensing and inductor applications".  United States.  https://www.osti.gov/servlets/purl/1987238.

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@article{osti_1987238,

  title        = {Tunable anisotropy of co-based nanocomposites for magnetic field sensing and inductor applications},

  author       = {Leary, Alex M. and Ohodnicki, Paul R. and McHenry, Michael E. and Keylin, Vladimir and Huth, Joseph and Kernion, Samuel J.},

  abstractNote = {A method includes producing an amorphous precursor to a nanocomposite, the amorphous precursor comprising a material that is substantially without crystals not exceeding 20% volume fraction; performing devitrification of the amorphous precursor, wherein the devitrification comprises a process of crystallization; forming, based on the devitrification, the nanocomposite with nano-crystals that contains an induced magnetic anisotropy; tuning, based on one or more of composition, temperature, configuration, and magnitude of stress applied during annealing and modification, the magnetic anisotropy of the nanocomposite; and adjusting, based on the tuned magnetic anisotropy, a magnetic permeability of the nanocomposite.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2023},

  month        = {3}

}

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