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Alex Zunger,
National Renewable Energy Laboratory
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| Localized-to-delocalized
transition in GaAsN alloys: Calculated conduction band wavefunction
isosurfaces of the GaAsN alloy from 14,000 atom supercell plane-wave
calculations. At low nitrogen concentrations (a), the lowest energy
wavefunctions are highly nitrogen localized (shown in red). With increased
nitrogen concentration (b), the lowest energy conduction levels consist
of both localized (red) and delocalized levels (green). For higher
nitrogen concentrations (c), the conduction levels become increasingly
delocalized (green). |
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Research
Objectives
Our calculations allow us to predict
in detail the effect of nano-scale atomic structure on the electronic
and optical properties of semiconductor systems. Using atomistic models
in conjunction with quantum mechanical methods, we are able to interpret
excitonic spectra, provide feedback to experiment, and predict new properties
to be engineered and investigated. Our studies focus on both one-body
electronic structure and properties and many-body (configuration interaction)
treatments.
Computational
Approach
We use a combination
of methods to bridge the length and computational
cost scales from the 100–1,000 atom microstructural
scale, where we obtain thermodynamic information
and compute fully relaxed geometries of complex structures
such as impurity complexes and surfaces, to the 100,000–1,000,000
atom nanostructure regime, where the optoelectronic
properties are determined by the near gap conduction
and valence states.
We use
local density approximation based methods for small
systems, and empirical pseudopotential based methods,
such as the folded spectrum and linear combination
of bulk bands methods, for large-scale nanostructures.
Our optimized pseudopotential methods allow us to
study million-atom systems with quantum mechanical
accuracy. Using the single particle wave functions,
we are able to treat many-body effects, important
for optical properties and effects such as Coulomb
blockade, by means of a configuration interaction
based approach.
Accomplishments
In FY2000 we
successfully studied several classes of nanostructure
systems:
1. Alloy
dots, arrays: We predicted the excitonic exchange
splitting of Si dots, predicted the electron-addition
spectra of InP and CdSe dots, and developed a theory
of lens-shaped self-assembled InAs/GaAs dots. Using
our many-body configuration-interaction approach,
we predicted failures of both Hund’s rule and the
Aufbau principle in quantum dots.
2. Nitrides:
We developed the first theory of localization in
InGaN alloys and successfully explained anomalous
pressure effects in GaAsN.
3. Short-range
order: We developed the first quantitative theory
of alloy precipitate shape in metal alloys, successfully
predicted the size and shape of precipitates versus
temperature of Al-Zn, and demonstrated the first
quantitative theory of phase-stability of brass (Cu-Zn).
Significance
The electronic, optical,
transport, and structural properties of semiconductor
nanostructures (films, quantum dots, and quantum
wires) and microstructures in alloys are important
because of their potential application to lasers,
sensors, photovoltaics and novel quantum devices.
These structural features occur on distance scales
of ~100–500 Å, thus encompasing 104–105
atoms. Ours is the only available pseudopotential-based
theory which can address this size scale. Understanding
the underlying physical phenomena in these systems
is essential to designing nanoscale devices with
custom-made electronic and optical properties.
Publications
A. Franceschetti
and A. Zunger, “Inverse band-structure problem of
finding an atomic configuration with given electronic
properties,” Nature 402, 60 (1999).
S. B.
Zhang, S. H. Wei, and A. Zunger, “Microscopic origin
of the phenomenological equilibrium ‘doping limit
rule’ in n-Type III-V semiconductors,” Phys. Rev.
Lett. 84, 1232 (2000).
A. Franceschetti
and A. Zunger, “Hund’s rule, spin blockade, and the
Aufbau principle in strongly confined semiconductor
quantum dots,” Europhysics Letters 50, 243
(2000).
http://www.sst.nrel.gov
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