Abstract

This data describes about the measurement technique of Ag/TiO2 nanocomposite materials that successfully synthesized via Horizontal Vapor Phase Growth (HVPG) technique. The data are obtained after specimens were placed in the Scanning Electron Microscope (SEM) chamber to be analyzed. The present data were captured from SEM with different magnification. There are total 27 variable data to be analyzed from three different parameters; growth temperature, baking time and zones. In total, 9 different quartz tubes that contains of Ag/TiO2 nanocomposite material are evaluated. Data are described in average value where the different calculations are presented. Raw data are also embedded in the Appendix for further analysis purposes. These data can be useful as the information of size measurement of Ag/TiO2 nanocomposite materials in different temperature and time during synthesis process.

Highlights

  • Images of Ag/TiO2 nanocomposite material synthesized via Horizontal Vapor Phase Growth (HVPG) technique

  • This data describes about the measurement technique of Ag/TiO2 nanocomposite materials that successfully synthesized via Horizontal Vapor Phase Growth (HVPG) technique

  • 9 different quartz tubes that contains of Ag/TiO2 nanocomposite material are evaluated

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Summary

Data accessibility

Shape and diameter measurement of nanocomposite material were harvested from SEM images of Ag/TiO2 nanocomposite materials synthesized by using HVPG technique. This technique used 2 parameters during fabrication process; Growth temperature and Baking time. The data are valuable for understanding how to measure the nanocomposite material by using SEM analysis. The data are useful to predict the size of Ag/TiO2 nanocomposite materials in different combinations. The data can be used for clustering process of the shape of nanocomposite materials. Clustering the shape of material can help engineer, scientists, and designer to use different shape with different size for different purposes. The data provide how measurement are done and this can be easy to replicate by other researchers

Data description
Measurement technique
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