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RESWITCH SIGNED

Redox-Controlled Resistive Switching in Hybrid Metal-Organic Thin Films towards Neuromorphic Computing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 RESWITCH project word cloud

Explore the words cloud of the RESWITCH project. It provides you a very rough idea of what is the project "RESWITCH" about.

networks    predictions    interplay    neurons    deposition    electrically    node    computing    single    arising    hardware    ultimate    conductivity    exploration    redox    possibility    magnitude    modulate    constituents    dependencies    variability    boolean    electrochemical    emulating    modulated    suited    counterpart    store    cognitive    arrays    components    counter    thin    layers    layer    synaptic    electric    facilitated    transport    ion    dynamic    signal    weight    patterns    mld    materials    ultra    neuromorphic    emulate    electronic    contribution    below    motion    polymers    coupled    ill    huge    orders    hybrid    nanotechnology    energy    ionic    applicability    adjacent    reswitch    programs    concurrent    organic    time    quality    doping    film    dynamically    polymer    library    electrochemically    limits    computer    synapses    processability    recognizing    poor    logic    molecular    device    neural    operations    data    thought    conductive    films    communication    conjugated    conductance    metal    active    learned    biological    operation    linear    precise    interconnected    bilayer    brain    interconnectivity    simulation    plasticity    efficiency    human    mimicking   

Project "RESWITCH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT GENT 

Organization address
address: SINT PIETERSNIEUWSTRAAT 25
city: GENT
postcode: 9000
website: http://www.ugent.be

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 166˙320 €
 EC max contribution 166˙320 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2021-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT GENT BE (GENT) coordinator 166˙320.00

Map

 Project objective

Cognitive computing has brought about the possibility of computer programs with ability to learn by recognizing patterns in data and to make predictions on the learned dependencies by mimicking the operation of the human brain. However, their energy efficiency is still orders of magnitude below the biological counterpart as the current linear Boolean logic is ill-suited for the simulation of the huge arrays of interconnected neurons. Neuromorphic computing aims to greatly improve the efficiency by emulating the synaptic functionality and interconnectivity on the hardware level. In biological neural networks, communication between neurons is facilitated by synapses that modulate the signal through changes in the synaptic weight. The time-variability of these operations is thought to allow the single node to both process and store information RESWITCH seeks to emulate this synaptic plasticity by exploiting the coupled ionic/electronic transport in redox-active hybrid metal-organic coordination polymer thin films. As in fully organic conjugated polymers, the electronic conductivity can be modulated electrochemically with dynamic operation arising from the concurrent counter-ion motion. The interplay of the metal and organic constituents allows for precise control of the electric/electrochemical properties, but poor processability limits their applicability for nanotechnology applications. In RESWITCH, a new thin film -based approach is implemented with Molecular Layer Deposition (MLD). A library of MLD processes for high-quality, ultra-thin films of redox-active and electrically conductive materials will be established. The thin film approach allows for detailed exploration on the contribution of the metal and organic components to the redox-properties and conductivity. The ultimate target is to implement the thin films in a novel bilayer thin film device in which the conductance can be controlled dynamically with electrochemical doping of the adjacent layers.

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The information about "RESWITCH" are provided by the European Opendata Portal: CORDIS opendata.

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