Skip to main content

MAGNONIC ARTIFICIAL NEURAL NETWORKS AND GATE ARRAYS

Objective

We seek to explore and challenge the limits of spin-based devices and their energy efficiency. This will be achieved by combining two inherently energy-efficient technology paradigms: (i) magnonics (using spin waves – low energy magnetic excitations – to process signals and data) and (ii) neuromorphic computing (using large-scale integrated systems and analog circuits to solve data-driven problems in a brain-like manner). We will use nanoscale chiral magnonic resonators as building blocks of artificial neural networks. The power of the networks will be demonstrated by creating magnonics versions of field programmable gate arrays, reservoir computers, and recurrent neural networks. The ultimate efficiency of the devices will be achieved by (a) maximising their magnetic nonlinearity; (b) using epitaxial yttrium iron garnet, which has the lowest known magnetic damping, for thin film magnonic media and resonators; and (c) using wireless delivery of power. Sensitive to the resonators’ micromagnetic states, such artificial neural networks will be conveniently programmable and trainable within existing paradigms of magnetic data storage. The latter includes magnetic random-access memory (MRAM), which is already compatible with CMOS, while compatibility with other technology paradigms of spintronics will also be sought, explored, and exploited. Thereby, the key ambition of our proposed very forward-looking research programme is to develop and establish a novel, revolutionary class of energy-efficient spin-based components and devices for use in green high-tech data communication, processing, and storage technologies, thereby helping unlock the full potential of spintronics. We will seek dissemination of our developed and appropriately protected designs, processes, and technologies to interested European and international companies, thereby improving the competitiveness of the European high-tech industry.

Coordinator

AALTO KORKEAKOULUSAATIO SR
Net EU contribution
€ 713 628,75
Address
Otakaari 1
02150 Espoo
Finland

See on map

Region
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Participants (3)

VEREIN ZUR FORDERUNG VON INNOVATIONEN DURCH FORSCHUNG ENTWICKLUNG UNDTECHNOLOGIETRANSFER EV
Germany
Net EU contribution
€ 426 062,50
Address
Pruessing Strasse 27 B
07745 Jena

See on map

SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Thüringen Thüringen Jena, Kreisfreie Stadt
Activity type
Research Organisations
Other funding
€ 0,00
MARTIN-LUTHER-UNIVERSITAT HALLE-WITTENBERG
Germany
Net EU contribution
€ 690 713,75
Address
Universitatsplatz 10
6108 Halle

See on map

Region
Baden-Württemberg Stuttgart Stuttgart, Stadtkreis
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
QU&CO R&D BV
Netherlands
Net EU contribution
€ 310 000,00
Address
Palestrinastraat 12-h
1071 LE Amsterdam

See on map

SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
West-Nederland Noord-Holland Groot-Amsterdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00

Partners (1)

THE UNIVERSITY OF EXETER
United Kingdom
Net EU contribution
€ 0,00
Address
The Queen's Drive Northcote House
EX4 4QJ Exeter

See on map

Region
South West (England) Devon Devon CC
Activity type
Higher or Secondary Education Establishments
Other funding
No data