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Domain wall dynamics under nonlocal spin-transfer torque.

David Claudio-Gonzalez1, André Thiaville, Jacques Miltat

  • 1Laboratoire de Physique des Solides, Université Paris-Sud, CNRS UMR 8502, 91405 Orsay, France.

Physical Review Letters
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

Spin-diffusion effects influence current-driven domain wall motion. An effective nonlocal parameter, derived from the static domain wall structure, explains why vortex walls move more easily than transverse walls in NiFe nanostrips.

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Area of Science:

  • Condensed matter physics
  • Spintronics
  • Computational materials science

Background:

  • Understanding current-driven domain wall motion is crucial for spintronic devices.
  • Existing models often simplify the complex spin dynamics involved.
  • Experimental observations show differing mobilities for different domain wall types.

Purpose of the Study:

  • To investigate spin-diffusion effects on domain wall motion.
  • To develop a more accurate parameter to describe current-driven wall motion.
  • To explain the experimentally observed differences in vortex and transverse wall mobility.

Main Methods:

  • Integration of micromagnetics with the Zhang and Li diffusive model.
  • Analysis of spin-diffusion effects in continuously variable magnetization distributions.
  • Derivation of an effective nonlocal nonadiabatic parameter.

Main Results:

  • Current-driven wall motion in the steady velocity regime is well-described by an effective nonlocal nonadiabatic parameter.
  • This parameter is 20% larger for vortex walls in NiFe nanostrips compared to its local counterpart.
  • The parameter is minimally modified for transverse walls.
  • The effective parameter can be derived from the domain wall's static structure.

Conclusions:

  • Spin-diffusion effects significantly impact domain wall dynamics.
  • The derived effective nonlocal parameter reconciles theoretical models with experimental observations of vortex and transverse wall motion.
  • The static domain wall structure holds key information for predicting dynamic behavior.