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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.

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

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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