2019
DOI: 10.1088/1742-6596/1386/1/012097
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Evaluation of semiconductor materials by hydrothermal synthesis

Abstract: The present work describes the obtaining of semiconductor materials with kesterite structure by a hydrothermal methodology. The obtained kesterite has a structural modification of the conventional Cu2ZnSnS4 structure with the insertion of titanium instead of tin, in order to obtain Cu2ZnTiS4. The precursors of this material, metallic salts of copper, zinc acetate, titanium butoxide and thiourea were added in a hermetic steel reactor, controlling time (24 hours, 48 hours and 72 hours) and temperature (200 °C — … Show more

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“…With X-ray Diffraction (XRD) and Raman spectroscopy, the kesterite phase of the material was identified, likewise, with Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM) the homogeneity, the particle size and roughness of the material was determined. On the other hand, with solid state impedance spectroscopy (IS), the corresponding magnitudes were obtained to be able to classify the different CZTiS samples as semiconductor materials (3,4), thus observing a relationship between the roughness of the material and its electrical behavior. Statistical analyzes by means of variance and mathematical models allowed validating the data obtained and interpolating the conductive behavior of the CZTiS material, (5-7).…”
Section: Introductionmentioning
confidence: 99%
“…With X-ray Diffraction (XRD) and Raman spectroscopy, the kesterite phase of the material was identified, likewise, with Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM) the homogeneity, the particle size and roughness of the material was determined. On the other hand, with solid state impedance spectroscopy (IS), the corresponding magnitudes were obtained to be able to classify the different CZTiS samples as semiconductor materials (3,4), thus observing a relationship between the roughness of the material and its electrical behavior. Statistical analyzes by means of variance and mathematical models allowed validating the data obtained and interpolating the conductive behavior of the CZTiS material, (5-7).…”
Section: Introductionmentioning
confidence: 99%