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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.

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

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

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 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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