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Semiconducting nanowires for fotovoltaic devices

Abstract

Changes in the dimensionality of photovoltaic elements is a way to increase the efficiency of the devices by tuning the energy gaps in values which are close or even equal to the ideal value to obtain maximum efficiency. The overall objective of this proposal is to build nanowires from materials with photovoltaic potential and the opto-electronic and photovoltaic conversion characterization. Within this framework, a detailed study of the nanowires growth conditions and the critical properties for manufacturing devices (carriers localization, interface states, etc.) is proposed. These properties are essential for the application of nanowires in solar cells. Samples of Zn3P2 FeS2 will be produced by Vapor-Liquid-Solid mechanism and the devices by conventional lithographic techniques (using shadow masks, direct laser writing or electronic lithography). Single nanowire and multiple nanowires devices will be used to investigate the opto-electronic properties and the influence of metal-semiconductor interfaces in determining the characteristics of electrical contacts in nanowire diodes; features such as energy gap, photoconductivity at different wavelengths should also be tested. Finally, the potential of devices built from a dispersion of nanowires as photovoltaic converters will be investigated. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
LOMBARDI, G. A.; DE OLIVEIRA, F. M.; TEODORO, M. D.; CHIQUITO, A. J. Investigation of trapping levels in p-type Zn(3)P(2 )nanowires using transport and optical properties. Applied Physics Letters, v. 112, n. 19 MAY 7 2018. Web of Science Citations: 3.
COSTA, I. M.; COLMENARES, Y. N.; PIZANI, P. S.; LEITE, E. R.; CHIQUITO, A. J. Sb doping of VLS synthesized SnO2 nanowires probed by Raman and XPS spectroscopy. Chemical Physics Letters, v. 695, p. 125-130, MAR 2018. Web of Science Citations: 8.

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