New Materials for Printed Electronics-Organic Semiconductors and Dielectrics

Lead Research Organisation: University of Manchester
Department Name: Chemistry


Brain-inspired devices using microelectronic circuits to mimic the operation of biological neurons will be at the core of future computing systems as they can increase the speed of computation and reduce the power consumption. Biological neural networks are composed of imprecise, heterogeneous computational units, with very dense connectivity, that process spatiotemporal analogue signals at a slow (millisecond) timescale but deliver immense computational power. Current microelectronic fabrication has been optimised to provide billions of homogeneous units that operate at very high speeds but these are not easily compatible with many neuromorphic designs or can be customised in small device runs. While brain-like machines can be force-fit into digital technologies, an alternative approach is to use printed electronic neurons and synapses. These devices can be individually written and provide soft, flexible circuits that are readily customised at little cost.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509565/1 30/09/2016 29/09/2021
1711981 Studentship EP/N509565/1 15/09/2016 31/12/2020 Vanessa Tischler
Description Collaboration on manufacturing of printed electronic circuits 
Organisation University of Yamagata
Country Japan 
Sector Academic/University 
PI Contribution I had the opportunity to make two research trips there, one of which was funded by JSPS, the other partly by University of Manchester (flight) and Yamagata university (housing).
Collaborator Contribution They offered me the possibility to print some circuits at their facilities over two 3-month internships. They were interested to keep this collaboration going, should a follow-up programme at the University of Manchester receive funding.
Impact Due to time-pressure, some circuits were sent back for further testing. No concrete outcome yet.
Start Year 2019