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NeuroMag SIGNED

Magnonic Matrix-Vector-Multiplier for Neural Network Applications

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 NeuroMag project word cloud

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

magnetic    photonics    combined    breaking    spin    ground    soft    index    scalable    combines    of    intensively    electro    matrix    transformations    machine    networks    demonstrator    neural    rapid    interference    transducers    media    engineering    skills    compound    energy    photonic    implementations    device    efficiency    alternative    scientific    multiplier    researched    operated    magnetoelectric    full    boost    garnet    yttrium    science    optic    interdisciplinary    linear    proof    bidirectionality    paving    progress    optical    performing    learning    modulation    hardware    iron    equivalent    damping    vector    tuning    profile    waves    local    nanofabrication    velocity    combination    microwave    power    excite    broadband    engineer    neuromag    training    manipulate    researcher    refractive    operation    critical    advantages    nanofabricate    career    plan    physics    wave    materials    magnonic    effect    generate    adjustable    technological    undergone    detect    magnons    artificial   

Project "NeuroMag" data sheet

The following table provides information about the project.

Coordinator
INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM 

Organization address
address: KAPELDREEF 75
city: LEUVEN
postcode: 3001
website: www.imec.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 172˙800 €
 EC max contribution 172˙800 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-05-22   to  2020-05-21

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM BE (LEUVEN) coordinator 172˙800.00

Map

 Project objective

Machine learning applications based on artificial neural networks have undergone rapid progress in recent years. To improve the power efficiency over current hardware, alternative implementations of a critical part of artificial neural networks, the matrix-vector multiplier performing large-scale linear transformations, have been intensively researched. Recently, a matrix-vector multiplier based on the interference of optical waves has been proposed in combination with local adjustable electro-optic modulation of the refractive index to enable training. NeuroMag’s objective is to implement such an interference-based matrix-vector multiplier using spin waves (magnons). Magnetoelectric compound materials will be used to engineer scalable broadband transducers with high potential energy efficiency to generate, detect, and manipulate spin waves. Distinct advantages of such a spin wave implementation over a photonic one are (i) the full bidirectionality of the system since transducers can be operated both to excite as well as detect spin waves and (ii) the large tuning range of the phase velocity of spin waves (equivalent to the refractive index in photonics) by the magnetoelectric effect. Magnetoelectric transducers and low-damping Yttrium Iron Garnet magnetic media will be combined to nanofabricate a demonstrator device and study its matrix-vector multiplier operation. Using an interdisciplinary approach that combines materials science, physics, microwave engineering, and device nanofabrication, NeuroMag thus targets the ground-breaking proof-of-concept of a magnonic matrix-vector multiplier and its operation, paving the way towards magnonic artificial neural networks. The combination of learning through research and a comprehensive training plan, including both scientific and technological as well as soft skills, will strongly enhance the researcher profile of the applicant and provide a boost for his future scientific career.

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

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