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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.

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

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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