Nuclear magnetic resonance inverse spectra of InGaAs quantum dots: Atomistic level structural information

Ceyhun Bulutay, E. A. Chekhovich, and A. I. Tartakovskii
Phys. Rev. B 90, 205425 – Published 19 November 2014

Abstract

A wealth of atomistic information is contained within a self-assembled quantum dot (QD), associated with its chemical composition and the growth history. In the presence of quadrupolar nuclei, as in InGaAs QDs, much of this is inherited to nuclear spins via the coupling between the strain within the polar lattice and the electric quadrupole moments of the nuclei. Here, we present a computational study of the recently introduced inverse spectra nuclear magnetic resonance technique to assess its suitability for extracting such structural information. We observe marked spectral differences between the compound InAs and alloy InGaAs QDs. These are linked to the local biaxial and shear strains, and the local bonding configurations. The cation alloying plays a crucial role especially for the arsenic nuclei. The isotopic line profiles also largely differ among nuclear species: While the central transition of the gallium isotopes have a narrow linewidth, those of arsenic and indium are much broader and oppositely skewed with respect to each other. The statistical distributions of electric field gradient (EFG) parameters of the nuclei within the QD are analyzed. The consequences of various EFG axial orientation characteristics are discussed. Finally, the possibility of suppressing the first-order quadrupolar shifts is demonstrated by simply tilting the sample with respect to the static magnetic field.

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  • Received 29 September 2014
  • Revised 31 October 2014

DOI:https://doi.org/10.1103/PhysRevB.90.205425

©2014 American Physical Society

Authors & Affiliations

Ceyhun Bulutay1,*, E. A. Chekhovich2, and A. I. Tartakovskii2

  • 1Department of Physics, Bilkent University, Ankara 06800, Turkey
  • 2Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom

  • *bulutay@fen.bilkent.edu.tr

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Vol. 90, Iss. 20 — 15 November 2014

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