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SPINHALL SIGNED

Computing with mutually synchronized topological insulator based spin Hall nano-oscillators

Total Cost €

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EC-Contrib. €

0

Partnership

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 SPINHALL project word cloud

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

magnetization    heusler    candidates    found    breakthroughs    frequency    easily    spinhall    individual    radar    mhz    anisotropy    microwave    recognition    detectors    performance    topological    linear    candidate    mutual    phones    mn3xge    drive    ultrafast    generators    oscillator    reservoir    mn3    hall    latest    300    speech    group    techniques    consumes    ideal    demonstration    structure    computing    alloys    stnos    memory    operate    synchronization    explore    scopic    revolutionary    bise    ground    vortex    orders    angle    of    weak    tunable    scalable    signal    xga    networks    network    neuromorphic    power    cell    coupling    magnetic    direct    torque    shno    cells    ferromagnets    cmos    demonstrated    nano    conductivity    magnitude    first    bisb    efficient    primary    oscillators    stno    standard    spin    characterization    consumption    wireless    ultra    fast    oscillatory    applicability    shnos    day    vehicle    materials    insulators    compatibility    attractive    nor    modulated    industry    local    spectral    mtj    breaking   

Project "SPINHALL" data sheet

The following table provides information about the project.

Coordinator
GOETEBORGS UNIVERSITET 

Organization address
address: VASAPARKEN
city: GOETEBORG
postcode: 405 30
website: www.gu.se

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 Sweden [SE]
 Total cost 203˙852 €
 EC max contribution 203˙852 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GOETEBORGS UNIVERSITET SE (GOETEBORG) coordinator 203˙852.00

Map

 Project objective

Spin Hall nano-oscillators (SHNOs) are revolutionary nano-scopic, ultra-tunable, and ultra-rapidly modulated microwave oscillators. They show highly attractive ground-breaking properties and have direct compatibility with industry standard CMOS technology due to its similar structure as present-day magnetic memory cells. While their first target applications are ultra-wide frequency tunable microwave signal generators/detectors for cell phones, wireless networks, vehicle radar, and ultrafast spectral analysis applications, the rapidly improved understanding of their non-linear properties and demonstration of mutual synchronization of large numbers of SHNOs make them promising candidate for large-scale oscillator networks. It has been found very recently that spin torque nano-oscillators (STNOs) and SHNOs are ideal candidates for efficient oscillatory computing and a group of researchers demonstrated speech recognition using reservoir computing with a network of four MTJ-STNOs. However, this approach is neither fast (the vortex STNOs operate in the 100-300 MHz range and STNO-STNO coupling is weak) nor easily scalable to large networks since each STNO requires individual control of both its drive current and local magnetic field, which consumes high power. SPINHALL will use the recent breakthroughs in spin Hall devices, materials, and characterization techniques to improve the performance, and applicability of SHNOs and their networks. The primary goal is to use the latest breakthroughs in topological insulators (such as BiSb and BiSe) with their high spin Hall angle and high spin Hall conductivity and low-magnetization high-anisotropy ferromagnets (such as Heusler alloys Mn3 xGa and Mn3xGe) to improve the SHNO operating frequency by an order of magnitude, the power consumption by several orders of magnitude, and explore improved mutual synchronization and neuromorphic computing using networks of these SHNOs.

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

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