Spin relaxation of “upstream” electrons in quantum wires: Failure of the drift diffusion model

Sandipan Pramanik, Supriyo Bandyopadhyay, and Marc Cahay
Phys. Rev. B 73, 125309 – Published 10 March 2006

Abstract

The classical drift diffusion (DD) model of spin transport treats spin relaxation via an empirical parameter known as the “spin diffusion length.” According to this model, the ensemble averaged spin of electrons drifting and diffusing in a solid decays exponentially with distance due to spin dephasing interactions. The characteristic length scale associated with this decay is the spin diffusion length. The DD model also predicts that this length is different for “upstream” electrons traveling in a decelerating electric field than for “downstream” electrons traveling in an accelerating field. However, this picture ignores energy quantization in confined systems (e.g., quantum wires) and therefore fails to capture the nontrivial influence of subband structure on spin relaxation. Here we highlight this influence by simulating upstream spin transport in a multisubband quantum wire, in the presence of D’yakonov-Perel’ spin relaxation, using a semiclassical model that accounts for the subband structure rigorously. We find that upstream spin transport has a complex dynamics that defies the simplistic definition of a “spin diffusion length.” In fact, spin does not decay exponentially or even monotonically with distance, and the drift diffusion picture fails to explain the qualitative behavior, let alone predict quantitative features accurately. Unrelated to spin transport, we also find that upstream electrons undergo a “population inversion” as a consequence of the energy dependence of the density of states in a quasi-one-dimensional structure.

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  • Received 27 October 2005

DOI:https://doi.org/10.1103/PhysRevB.73.125309

©2006 American Physical Society

Authors & Affiliations

Sandipan Pramanik and Supriyo Bandyopadhyay*

  • Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, Virginia 23284, USA

Marc Cahay

  • Department of Electrical and Computer Engineering and Computer Science, University of Cincinnati, Cincinnati, Ohio 45221, USA

  • *Email address: sbandy@vcu.edu

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Issue

Vol. 73, Iss. 12 — 15 March 2006

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