Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137746
Title: Effect of size and shape on electronic and optical properties of CdSe quantum dots
Authors: Liu, Yincheng
Bose, Sumanta
Fan, Weijun
Keywords: Physics - Materials Science
Physics - Materials Science
Physics - Mesoscopic Systems and Quantum Hall Effect
physics.app-ph
Physics - Optics
Quantum Physics
Science::Physics
Issue Date: 2018
Source: Liu, Y., Bose, S., & Fan, W. (2018). Effect of size and shape on electronic and optical properties of CdSe quantum dots. Optik, 155, 242-250. doi:10.1016/j.ijleo.2017.10.165
Journal: Optik
Abstract: In this paper, we used the 8-band k$\cdot$p model with valence force field considerations to investigate the effect of size and shape on electronic and optical properties of cadmium selenide quantum dots. Major factors related to their properties including band mixing probabilities, spatial charge distributions, transition matrix elements and Fermi factors were studied. Volumetrically larger CdSe dots were found to have smaller band-gaps but higher transition matrix elements and Fermi factors. The maximum optical gain for dots was observed to have an initially positive and then negative correlation with their real-space size as a result of combined effects of various factors. For the shape effects, cubic dots were found to have smaller band-gaps, Fermi factors and transition matrix elements than spherical dots due to higher level of asymmetry and different surface effects. Consequently, cubic dots have lower emission energy, smaller amplification. The occurrence of near E1-H1 transition broadens the gain spectrum of cubic dots. Cubic and spherical dots are both proven to be promising candidates for optical devices under visible range. We have demonstrated that size and shape change could both effectively alter the properties of quantum dots and therefore recommend consideration of both when optimizing the performance for any desired application.
URI: https://hdl.handle.net/10356/137746
ISSN: 0030-4026
DOI: 10.1016/j.ijleo.2017.10.165
Schools: School of Computer Science and Engineering 
Rights: © 2017 Elsevier GmbH. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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