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Record thermopower found in an IrMn-based spintronic stack.

Sa Tu1, Timothy Ziman2,3,4, Guoqiang Yu5,6

  • 1Fert Beijing Institute, BDBC, School of Microelectronics, Beihang University, 100191, Beijing, China.

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|April 26, 2020
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Summary
This summary is machine-generated.

Researchers found that thin films of the antiferromagnetic metal iridium-manganese (IrMn) exhibit a record Seebeck coefficient at room temperature, enabling efficient on-chip energy harvesting for the Internet-of-Things.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Spintronics

Background:

  • The Seebeck effect is crucial for on-chip energy harvesting, requiring thin film materials with high Seebeck coefficients.
  • Antiferromagnetic iridium-manganese (IrMn) is utilized in spintronics for magnetic tunnel junctions in memory and sensor applications.
  • Previous studies indicated a thickness-dependent Néel temperature for IrMn, approaching room temperature in thin films.

Purpose of the Study:

  • To investigate the Seebeck coefficient of thin film IrMn in magnetic tunnel junctions.
  • To determine if IrMn can be optimized for efficient thermoelectric energy harvesting at room temperature.

Main Methods:

  • Fabrication of IrMn-based half magnetic tunnel junctions with varying IrMn layer thicknesses (0.6 to 4.0 nm).
  • Measurement of the Seebeck coefficient at different temperatures, focusing on the Néel temperature of IrMn.
  • Utilized spin pumping experiments to characterize IrMn properties.

Main Results:

  • The Seebeck coefficient of IrMn-based magnetic tunnel junctions peaked at the Néel temperature.
  • A record Seebeck coefficient of 390 (±10) μV K⁻¹ was achieved at room temperature for thin IrMn films.
  • The Néel temperature of IrMn was observed to be thickness-dependent.

Conclusions:

  • Thin film IrMn exhibits a significant Seebeck coefficient at room temperature, making it suitable for thermoelectric energy harvesting.
  • IrMn-based magnetic devices can potentially harvest waste heat, contributing to self-powered sensors and the 'Power-of-Things' concept.