Contact Waterloo Institute for Nanotechnology
Mike & Ophelia Lazaridis Quantum-Nano Centre, Room 3606
University of Waterloo
200 University Ave. W.
Waterloo, ON. N2L 3G1
+1 519 888 4567, ext.38654
Please join the Waterloo Institute for Nanotechnology on Monday, February 25, 2019 for a guest lecture by Dr. Niels Benson from the Faculty of Engineering, University of Duisburg-Essen, and CENIDE — Center for Nanointegration Duisburg-Essen, D-47048 Duisburg, Germany. He will be speaking on "Printable Silicon for a novel RFID system approach".
RFID technology is an important building block for the ongoing internet of things development, and its success will mainly depend on a broad range of functionality and cost requirements. In this context a novel passive chipless RFID system approach is introduced, which has the potential for ultra-low cost applications, while maintaining an information storage depth of > 60bit. The technology relies on information storage in the frequency domain, which is realized by resonators in the antenna metallization of the tag architecture. Active clutter suppression will be made possible by the integration of a non-linear element in the form of a novel type of Schottky diode, which is implemented using printable Si in combination with laser processing.
Niels Benson received his Dipl.-Ing. degree in electrical engineering in 2004 from the University of Stuttgart and his Dr.-Ing. degree in materials science in 2009 from the Technische Universität Darmstadt. From 2008 he has worked as a senior scientist for Polymer Vision on rollable active matrix displays. In 2010 he joined the University of Duisburg-Essen as a research group leader on thin film photovoltaics and electronics. In 2018 he was appointed a W1-Professor at the University of Duisburg-Essen on printable materials for signal processing systems. His current research focusses on charge carrier transport in disordered semiconductor systems, passive chipless RFID systems, as well as additive manufactured ceramic components for sub-mm wave signal processing applications.