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Published on: December 4, 2017
Nonlocal Spin Dynamics in the Crossover from Diffusive to Ballistic Transport
Marc Vila1,2, Jose H Garcia1, Aron W Cummings1
1Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193 Barcelona, Spain.
Quantum simulations reveal conventional spin diffusion theory fails for ultraclean graphene devices in ballistic transport regimes. An extended theory accurately describes long spin diffusion lengths, improving predictions for spin transport in 2D materials.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Quantum Mechanics
Background:
- Ultraclean graphene devices enable ballistic transport and advanced spin manipulation.
- Conventional spin diffusion theory is used to analyze spin transport in nonlocal spin valves.
- This theory's applicability is limited in ballistic transport or very long spin diffusion length regimes.
Purpose of the Study:
- To investigate spin transport in graphene nonlocal spin valves under ballistic transport and long spin diffusion length conditions.
- To evaluate the accuracy of conventional spin diffusion theory in these extreme regimes.
- To develop a more comprehensive theoretical framework for spin dynamics in ultraclean 2D materials.
Main Methods:
- Quantum simulations of graphene nonlocal spin valves were performed.
- Simulations covered a wide range of spin dynamics, from diffusive to ballistic transport.
- Results were compared against conventional spin diffusion theory and extended models.
Main Results:
- Conventional spin diffusion theory was found to be inadequate for describing the crossover to ballistic transport.
- The theory also failed to accurately predict spin transport in the limit of long spin diffusion lengths.
- An extension of the current theoretical framework successfully described the long spin diffusion length regime.
Conclusions:
- The study highlights the limitations of existing theories for spin transport in advanced graphene devices.
- An extended theoretical framework is proposed to accurately model spin dynamics across various regimes.
- This work provides new insights for predicting and scrutinizing spin transport in ultraclean 2D material-based devices.
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