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Related Experiment Videos

Thermal double donors and quantum dots.

J Coutinho1, R Jones, L I Murin

  • 1School of Physics, University of Exeter, Exeter EX4 4QL, United Kingdom.

Physical Review Letters
|December 12, 2001
PubMed
Summary

Oxygen atoms in silicon thermal double donors (TDD) are clustered together, forming [110] aligned chains. This structure explains their electrical properties and spin density, drawing parallels to quantum dots.

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Area of Science:

  • Solid State Physics
  • Materials Science
  • Quantum Chemistry

Background:

  • Thermal double donors (TDD) in silicon are crucial defects impacting semiconductor properties.
  • The precise atomic structure and location of oxygen within TDD have remained elusive.
  • Understanding TDD is vital for advanced silicon-based electronics and quantum technologies.

Purpose of the Study:

  • To elucidate the atomic configuration of oxygen within silicon thermal double donors.
  • To investigate the relationship between oxygen arrangement and the electronic/spin properties of TDD.
  • To establish a structural model for TDD and explore analogies with quantum dots.

Main Methods:

  • Combined application of local mode spectroscopy with isotopic substitution (16O, 18O).

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  • Ab initio theoretical modeling to simulate vibrational modes and electronic structures.
  • Piezospectroscopic measurements to probe defect symmetry and bonding.

    • Main Results:

    • Demonstrated close proximity of oxygen atoms within TDD for the first time.
    • Identified a model of [110] aligned oxygen chains with an insulating core and electrically active ends.
    • Explained observed vibrational modes, spin density on oxygen in TDD(+), and piezospectroscopic tensors.

    Conclusions:

    • The [110] aligned oxygen chain model accurately describes TDD structure and properties.
    • The findings provide a fundamental understanding of TDD formation and behavior in silicon.
    • The structural analogy between TDD and quantum dots is highlighted, suggesting potential applications in quantum information processing.