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Experimental data of aluminum-doped ZnO nanocrystal synthesis and characterization

Yang, Guohui ORCID iD icon 1
1 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The development of alternative processes for fabricating functional semiconductor nanomaterials and precisely controlling their properties is of significant scientific interest across various domains. A key driver is the energy transition, where the growing demand for semiconductors is challenged by the limited availability of rare-earth-based materials, which are essential for high-efficiency solar cells and sustainable electronics. Zinc oxide (ZnO), a well-established wide-bandgap semiconductor, can be transformed into a transparent conductive oxide (TCO) through aluminum doping. As a result, aluminum-doped ZnO (AZO) presents a cost-effective alternative to indium tin oxide (ITO) for transparent electrode applications. To investigate the properties of AZO nanoparticles during sol-gel synthesis, a multiscale characterization approach was developed. A combination of small-angle X-ray scattering (SAXS), dynamic light scattering (DLS), energy-dispersive X-ray spectroscopy (EDX), and image analysis, facilitated by transmission electron microscopy (TEM), scanning electron microscopy (SEM), and high-angle annular dark-field imaging (HAADF-STEM), along with gravimetric analysis and UV-Vis spectroscopy, provided comprehensive insights into AZO morphology and material properties. ... mehr

Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Forschungsdaten
Publikationsdatum 28.03.2025
Erstellungsdatum 01.10.2023 - 26.03.2025
Identifikator DOI: 10.35097/p1sffasqypwfk7es
KITopen-ID: 1000180494
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Al-doped ZnO (AZO) mesocrystals, sol-gel synthesis, hierarchical nanostructure characterization, X-ray scattering, dynamic light scattering
Liesmich

The attached raw data include TIF, Excel, and TXT files, which are widely compatible with most software and suitable for further processing.

Art der Forschungsdaten Dataset
Referent/Betreuer Nirschl, Hermann

Seitenaufrufe: 16
seit 28.03.2025
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