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Details of Grant 

EPSRC Reference: EP/H014381/1
Title: Learning and computation in disordered networks of memristors: theory and experiments
Principal Investigator: Adamatzky, Professor A
Other Investigators:
Bull, Professor L Costello, Dr B
Researcher Co-Investigators:
Project Partners:
Department: Faculty of Environment and Technology
Organisation: University of the West of England
Scheme: Standard Research
Starts: 01 July 2010 Ends: 30 June 2013 Value (£): 643,827
EPSRC Research Topic Classifications:
Artificial Intelligence Electronic Devices & Subsys.
Materials Synthesis & Growth New & Emerging Comp. Paradigms
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
02 Sep 2009 ICT Prioritisation Panel (Sept 09) Announced
Summary on Grant Application Form
Memristor (memory resistor) is a device whose resistance changes depending on the polarity and magnitude of a voltage applied to the device's terminals and the duration of this voltage's application. The memristor is a non-volatile memory because the specific resistance is retained until the application of another voltage. A memristor implements a material version of Boolean logic and thus any logical circuit can be constructed from memristors. We propose to fabricate in laboratory experiments an adaptive, self-organized disordered network of memristors. This practical fabrication will be backed up by rigorous computer simulation experiments. The memristor network is comprised of a conglomerate of conductive polymer fibres interspersed with particles of solid electrolyte. The conglomerate is placed on a matrix of micro-electrodes capable of recording voltage and generating current sources and sinks. Machine learning techniques will be applied in order to design logical schemes and basic arithmetical circuits.
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Organisation Website: http://www.uwe.ac.uk