Harnessing the Emergent Properties of Nanomagnet Ensembles for Massively Parallel Data Analysis

Informations projet

SpinENGINE

N° de convention de subvention: 861618

DOI 10.3030/861618

Date de signature de la CE 24 Septembre 2019

Date de début 1 Janvier 2020

Date de fin 30 Juin 2024

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total € 3 001 826,25

Contribution de l’UE € 3 001 826,00

Coordonné par

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Norway

Livrables

Demonstrators, pilots, prototypes (2)

Realization of coupled nanomagnet clusters

Realization of coupled nanomagnet clusters of up to four elements where the stable magnetisation states or magnetisation dynamics can be reproducibly tuned to statistically significant levels by external stimuli

Demonstration of electrical reading and writing of data

Demonstration of electrical reading and writing of data (error rates < 1 %).

Documents, reports (4)

Report on transfer functions reachable through tuning

Report on transfer functions reachable through tuning of nanomagneticensemble reservoirs

Model for emergent behaviour in modestly sized ensembles
Report on impact of lattice geometries and materials

Report on impact of lattice geometries and material compositions on wholeensemble response in modestly sized 100 nanoring and spinice ensembles

Report on design rules for coupled nanomagnet elements

Websites, patent fillings, videos etc. (2)

Website and logo

Website creation

Kick-off meeting

Kick-Off: Hold kick-off meeting

Open Research Data Pilot (1)

Data Management Plan

Publications

Conference proceedings (2)

Sculpting the Spin Ice for Computation

Auteurs: Arthur Penty and Gunnar Tufte
Publié dans: Proceedings of the International Conference on Unconventional Computation and Natural Computation, 2021
Éditeur: TEMC 2021

A Representation of Artificial Spin Ice for Evolutionary Search

Auteurs: Arthur Penty, Gunnar Tufte
Publié dans: Proceedings of the Artificial Life Conference, 2021
Éditeur: MIT Press Direct
DOI: 10.1162/isal_a_00436

Peer reviewed articles (8)

Synchronization of chiral vortex nano-oscillators

Auteurs: Zhiyang Zeng, Zhaochu Luo, Laura J. Heyderman, Joo-Von Kim, Aleš Hrabec
Publié dans: Applied Physics Letters, Numéro 118/22, 2021, Page(s) 222405, ISSN 0003-6951
Éditeur: American Institute of Physics
DOI: 10.1063/5.0048672

Dynamically Driven Emergence in a Nanomagnetic System

Auteurs: Richard W. Dawidek, Thomas J. Hayward, Ian T. Vidamour, Thomas J. Broomhall, Guru Venkat, Mohanad Al Mamoori, Aidan Mullen, Stephan J. Kyle, Paul W. Fry, Nina‐Juliane Steinke, Joshaniel F. K. Cooper, Francesco Maccherozzi, Sarnjeet S. Dhesi, Lucia Aballe, Michael Foerster, Jordi Prat, Eleni Vasilaki, Matthew O. A. Ellis, Dan A. Allwood
Publié dans: Advanced Functional Materials, Numéro 31/15, 2021, Page(s) 2008389, ISSN 1616-301X
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1002/adfm.202008389

Anisotropy and domain formation in a dipolar magnetic metamaterial

Auteurs: Einar Digernes, Anders Strømberg, Carlos A. F. Vaz, Armin Kleibert, Jostein K. Grepstad, Erik Folven
Publié dans: Applied Physics Letters, Numéro 118/20, 2021, Page(s) 202404, ISSN 0003-6951
Éditeur: American Institute of Physics
DOI: 10.1063/5.0045450

Effects of array shape and disk ellipticity in dipolar-coupled magnetic metamaterials

Auteurs: Sam D. Slöetjes; Sam D. Slöetjes; Sam D. Slöetjes; Einar Digernes; Anders Strømberg; Fredrik Kjemperud Olsen; Ambjørn Dahle Bang; Alpha T. N'Diaye; Rajesh V. Chopdekar; Erik Folven; Jostein K. Grepstad
Publié dans: Physical Review B, Numéro 104, 2021, Page(s) 134421, ISSN 1098-0121
Éditeur: American Physical Society
DOI: 10.1103/physrevb.104.134421

flatspin: A Large-Scale Artificial Spin Ice Simulator

Auteurs: Johannes H. Jensen, Anders Strømberg, Odd Rune Lykkebø, Arthur Penty, Magnus Själander, Erik Folven, and Gunnar Tufte
Publié dans: Physical review B, Numéro 106, 2022, Page(s) 064408, ISSN 1098-0121
Éditeur: American Physical Society
DOI: 10.1103/physrevb.106.064408

Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetisation Dynamics

Auteurs: Ian Vidamour, Matthew O.A. Ellis, David Griffin, Guru Venkat, Charles Swindells, Richard W. S. Dawidek, Thomas J Broomhall, Nina-Juliane Steinke, Joshaniel Cooper, Francesco Maccherozzi, Sarnjeet Dhesi, Susan Stepney, Eleni Vasilaki, Dan A Allwood and Tom James Hayward
Publié dans: Nanotechnology, Numéro 33, 2022, Page(s) 485203, ISSN 0957-4484
Éditeur: Institute of Physics Publishing
DOI: 10.1088/1361-6528/ac87b5

Voltage-controlled superparamagnetic ensembles for low-power reservoir computing

Auteurs: A. Welbourne, A. L. R. Levy, M. O. A. Ellis, H. Chen, M. J. Thompson, E. Vasilaki, D. A. Allwood, T. J. Hayward
Publié dans: Applied Physics Letters, Numéro 118/20, 2021, Page(s) 202402, ISSN 0003-6951
Éditeur: American Institute of Physics
DOI: 10.1063/5.0048911

A perspective on physical reservoir computing with nanomagnetic devices

Auteurs: Dan A. Allwood, Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH. Musameh, Simon O'Keefe, Susan Stepney, Charles Swindells, Martin A. Trefzer, Eleni Vasilaki, Guru Venkat, Ian Vidamour, and Chester Wringe
Publié dans: Applied Physics Letters, Numéro 122, 2023, Page(s) 040501, ISSN 0003-6951
Éditeur: American Institute of Physics
DOI: 10.1063/5.0119040

Non-peer reviewed articles (1)

Spin ice devices from nanomagnets

Auteurs: Laura J. Heyderman
Publié dans: Nature Nanotechnology, Numéro 17, 2022, Page(s) 465-436, ISSN 1748-3387
Éditeur: Nature Publishing Group
DOI: 10.1038/s41565-022-01088-2