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#FLEPS2021

Track1: Emerging Materials

Cinzia Casiraghi

University of Manchester, UK
Presenter Bio

Prof Cinzia Casiraghi received her BSc and MSc in Nuclear Engineering from Politecnico di Milano (Italy) and her PhD in Electrical Engineering from the University of Cambridge (UK) in 2006. In 2005 she was awarded with an Ernest Oppenheimer Early Career Research Fellowship, followed by the Alexander von Humboldt Research Fellowship in 2007 and the prestigious Sofja Kovalevskaja Award, won in 2008. This Prize is given to young, cutting-edge researchers, providing them with risk capital to pursue innovative projects and establish their own lab at a very early stage in their careers. This allowed her to become Junior Group Leader at the Physics Department of the Free University Berlin (Germany). In 2010 she joined the School of Chemistry, at the University of Manchester (UK). She holds a Chair in nanoscience since 2016.

Abstract: Water-based and biocompatible 2D material based inks for printed electronics
Solution processing of 2D materials [1] allows simple and low-cost techniques, such as ink-jet printing, to be used for fabrication of heterostructure-based devices of arbitrary complexity. However, the success of this technology is determined by the nature and quality of the inks used. Our group has developed highly concentrated, defect-free, printable and water-based 2D crystal formulations, designed to provide optimal film formation for multi-stack fabrication [2]. I will give examples of all-inkjet printed heterostructures, such as large area arrays of photosensors on plastic [2], programmable logic memory devices [2], capacitors [3] and transistors on paper [3,4]. Furthermore, inkjet printing can be easily combined with materials produced by chemical vapor deposition, allowing simple and quick fabrication of complex circuits on paper, such as high-gain inverters, logic gates, and current mirrors [5]. Our formulations are biocompatible and our approach also allows to easily tune the surface charge of graphene, which is a key parameter in biomedical applications. [6-9]. References

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