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Computational studies of doped nanostructures

James R. ChelikowskyDepartments of Physics and Chemical Engineering, University of Texas, Austin, TX 78712, USAM. M. G. AlemanyDepartamento de Física de la Materia Condensada, Facultad de Física, Universidad de Santiago de Compostela, E–15782 Santiago de Compostela, SpainT-L ChanUniversity of Texas at Austin#TAB#Gustavo M. DalpianUniversidade Federal do ABC
2011en
ABI

Abstract

One of the most challenging issues in materials physics is to predict the properties of defects in matter. Such defects play an important role in functionalizing materials for use in electronic and optical devices. As the length scale for such devices approaches the nano-regime, the interplay of dimensionality, quantum confinement and defects can be complex. In particular, the usual rules for describing defects in bulk may be inoperative, i.e. a shallow defect level in bulk may become a deep level at the nanoscale. The development of computational methods to describe the properties of nanoscale defects is a formidable challenge. Nanoscale systems may contain numerous electronic and nuclear degrees of freedom, and often possess little symmetry. In this review, we focus on new computational methods, which allow one to predict the role of quantum confinement on the electronic, magnetic and structural properties of functionalized nanostructures. We illustrate how these methods can be applied to nanoscale systems, and present calculations for the electronic, magnetic and structural properties of dopants in semiconductor nanocrystals and nanowires.

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