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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.

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

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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