Abstract

In this article, the effect of growth parameters on structural properties of TiO2 nanowires, synthesized by thermal evaporation process, have been studied. The nanostructures are characterized by scanning electron microscopy and X-ray spectroscopy. Our synthesized TiO2 nanowires were found, through X-ray diffraction measurements, to be crystalline rutile TiO2. We studied the effect of growth parameters such as the deposition temperature, the system pressure, and carrier gas flow on the growth and structure of our synthesized nanowires. It was found that their growth was governed by vapor–liquid–solid mechanism because of using Au catalyst. In this mechanism, the Ti layer deposited on the substrate diffused in to the solid Au catalyst; then, a liquid alloy of Au-Ti was formed to serve as preferred sites for the growth of TiO2 nanowires.

Highlights

  • Semiconductor nanowires are a fundamental importance to the study of size- and dimensionality-dependent chemical and physical phenomena [1]

  • We report structural properties of TiO2 nanowires, which have been synthesized by thermal evaporation

  • To explain the effect of growth parameters on the structure of nanowires, we studied the effect of several parameters such as deposition temperature, system pressure, and carrier gas flow on growth and structure of our synthesized nanowires

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Summary

Introduction

Semiconductor nanowires are a fundamental importance to the study of size- and dimensionality-dependent chemical and physical phenomena [1]. Semiconducting nanowires have received considerable attention due to their unique physical properties and on dimensional structure. Among these nanostructure materials, TiO2 nanostructures have emerged as one of the most promising materials because of their potential for gas sensors [2], optical devices [3,4], photocatalysis [5,6,7,8], and solar cells [9]. The technological importance of one-dimensional (1-D) nanostructure and the lack of information on their morphology underline the need for developing growth parameter studying. In the study of Wu et al [16] in

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