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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.

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

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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