Novel CVD-based growth process for zinc oxide layers
At the University of Ulm, a cost-effective deposition process for zinc oxide (ZnO) layers has been developed that provides very good layer qualities and permits a high growth rate. Source material is zinc oxide, no elementary zinc is required.
Using this innovative CVD-based process, it is possible without the addition of environmentally-harmful additives, to create weakly-conductive layers, easily etchable sacrificial layers in multi-layer systems, conductive transparent layers (transparent conductive oxide, TCO) and generally conductive contacts or conductor structures on fixed-body substrates such as sapphire, silicon, silicon carbide or gallium nitride. Furthermore, this process is suitable for generating nano- or microstructures for sensor applications, thin-film transistors (TFT on displays), Schottky diodes, and field effect transistors.
Further information: PDF
Technologie-Lizenz-Büro (TLB) der Baden-Württembergischen Hochschulen GmbH
Phone: +49 (0)721/79 00 40
Contact
Dipl.-Biol. Marcus Lehnen, MBA
As Germany's association of technology- and patenttransfer agencies TechnologieAllianz e.V. is offering businesses access to the entire range of innovative research results of almost all German universities and numerous non-university research institutions. More than 2000 technology offers of 14 branches are beeing made accessable to businesses in order to assure your advance on the market. At www.technologieallianz.de a free, fast and non-bureaucratic access to all further offers of the German research landscape is offered to our members aiming to sucessfully transfer technologies.
Media Contact
All latest news from the category: Technology Offerings
Newest articles
New yttrium-hydrogen compounds discovered
Researchers at the University of Bayreuth have made a significant scientific breakthrough by discovering new yttrium-hydrogen compounds having serious implications for the research on high-pressure superconductivity. High-pressure superconductivity refers to…
New AI model detects ninety percent of lymphatic cancer cases
Medical image analysis using AI has developed rapidly in recent years. Now, one of the largest studies to date has been carried out using AI-assisted image analysis of lymphoma, cancer…
UTA preps giant particle detectors for neutrino project
Excavation of caverns part of Fermilab’s Deep Underground Neutrino Experiment. With excavation work complete at the site where four gigantic particle detectors for the international Deep Underground Neutrino Experiment (DUNE) will be…