DEEP OSCILLATORY NEURAL NETWORKS COMPUTING AND LEARNING THROUGH THE DYNAMICS OF RF NEURONS INTERCONNECTED BY RF SPINTRONIC SYNAPSES

Informazioni relative al progetto

RadioSpin

ID dell’accordo di sovvenzione: 101017098

DOI

10.3030/101017098

Data della firma CE 1 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Ottobre 2026

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 3 872 942,83

Contributo UE

€ 3 872 942,50

Coordinato da

UNIVERSITE DE BORDEAUX
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (6)

Simulation and benchmark of large scale RadioSpin technology for microwave mammography of patients and for RF fingerprinting of IoT devices

Report on the simulation and benchmarking of of large scale RadioSpin technology for microwave mammography of patients and for RF fingerprinting of IoT devices.

RF fingerprinting database

Public report on the RadioSpin RF fingerprinting database

Mid-term report on dissemination and communication activities

Public interims report on all dissemination and communication activities performed by RadioSpin during the first two years, incl. details on selected stakeholders for engagement and inter-project communication.

RadioSpin online presence and visual identity kit

Public report on the RadioSpin online presence incl website and social media and the projects visual ID to be used during the project incl project logo visual design materials etc available at the start of the project

Protocol for the clinical tests

Protocol for the clinical tests. UBT will furthermore register the trial in the public portal ClinicalTrials.gov

Behavioural and physical model of synaptic devices

Report on behavioural and physical model of synaptic devices.

Open Research Data Pilot (2)

Initial Data Management Plan

First version of the project data management plan outlining the planned actions for preserving curating storing and sharing data openly where possible not IP protected

Final Data Management Plan

Final plan on Data Management, incl. curation, preservation, storing and public sharing of non-IP protected data.

Data sets, microdata, etc (1)

Database of RF fingerprinting on use case IoT devices

Database of RF fingerprinting on the use case of IoT devices.

Pubblicazioni

Peer reviewed articles (9)

3D Huygens Principle Based Microwave Imaging Through MammoWave Device: Validation Through Phantoms

Autori: Bilal Khalid; Banafsheh Khalesi; Navid Ghavami; Lorenzo Sani; Alessandro Vispa; Mario Badia; Sandra Dudley; Mohammad Ghavami; Gianluigi Tiberi
Pubblicato in: IEEE Access, Vol 10, Pp 106770-106780 (2022), Numero 4, 2022, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3211957

A Multicentric, Single Arm, Prospective, Stratified Clinical Investigation to Confirm MammoWave’s Ability in Breast Lesions Detection

Autori: Daniel Álvarez Sánchez-Bayuela; Navid Ghavami; Cristina Romero Castellano; Alessandra Bigotti; Mario Badia; Lorenzo Papini; Giovanni Raspa; Gianmarco Palomba; Mohammad Ghavami; Riccardo Loretoni; Massimo Calabrese; Alberto Tagliafico; Gianluigi Tiberi
Pubblicato in: Diagnostics, Vol 13, Iss 12, p 2100 (2023), Numero 1, 2023, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics13122100

Convolutional neural networks with radio-frequency spintronic nano-devices

Autori: Nathan Leroux; Arnaud De Riz; Dedalo Sanz-Hernandez; Danijela Markovic; Alice Mizrahi; Julie Grollier
Pubblicato in: Electronics, Numero 1, 2022, ISSN 2079-9292
Editore: MDPI
DOI: 10.1088/2634-4386/ac77b2

Second harmonic injection locking of coupled spin torque vortex oscillators with an individual phase access

Autori: Leandro Martins, Alex S. Jenkins, Jérôme Borme, João Ventura, Paulo P. Freitas & Ricardo Ferreira
Pubblicato in: Communications Physics, 2023, ISSN 2399-3650
Editore: Nature
DOI: 10.1038/s42005-023-01200-5

Exploring Multifunctionality in MgO-Based Magnetic Tunnel Junctions with Coexisting Magnetoresistance and Memristive Properties

Autori: Alejandro Schulman, Elvira Paz, Tim Böhnert, Alex Steven Jenkins, Ricardo Ferreira
Pubblicato in: Advanced Functional Materials, 2023, ISSN 1616-3028
Editore: Wiley
DOI: 10.1002/adfm.202305238

Multilayer spintronic neural networks with radiofrequency connections

Autori: Andrew Ross; Nathan Leroux; Arnaud De Riz; Danijela Marković; Dédalo Sanz-Hernández; Juan Trastoy; Paolo Bortolotti; Damien Querlioz; Leandro Martins; Luana Benetti; Marcel S. Claro; Pedro Anacleto; Alejandro Schulman; Thierry Taris; Jean-Baptiste Begueret; Sylvain Saïghi; Alex S. Jenkins; Ricardo Ferreira; Adrien F. Vincent; Frank Alice Mizrahi; Julie Grollier
Pubblicato in: "Nature Nanotechnology, 2023, ⟨10.1038/s41565-023-01452-w⟩", Numero 2, 2023, ISSN 1748-3395
Editore: Nature
DOI: 10.1038/s41565-023-01452-w

A Microwave Imaging Procedure for Lung Lesion Detection: Preliminary Results on Multilayer Phantoms

Autori: Banafsheh Khalesi; Bilal Khalid; Navid Ghavami; Giovanni Raspa; Mohammad Ghavami; Sandra Dudley-McEvoy; Gianluigi Tiberi
Pubblicato in: Convolutional neural networks with radio-frequency spintronic nano-devices, Numero 1, 2022, ISSN 2634-4386
Editore: IOP Publishing Ltd
DOI: 10.3390/electronics11132105

Non-volatile artificial synapse based on a vortex nano-oscillator

Autori: Leandro Martins, Alex S. Jenkins, Lara San Emeterio Alvarez, Jérôme Borme, Tim Böhnert, João Ventura, Paulo P. Freitas & Ricardo Ferreira
Pubblicato in: Scientific Reports, Numero 11, 2021, Pagina/e 16094, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-95569-4

The impact of local pinning sites in magnetic tunnel junctions with non-homogeneous free layers

Autori: Alex. S. Jenkins; Leandro Martins; Luana C. Benetti; Alejandro Schulman; Pedro Anacleto; Marcel S. Claro; Ihsan Caha; Francis Leonard Deepak; Elvira Paz; Ricardo Ferreira
Pubblicato in: Communications Materials, Numero 5, 2024, ISSN 2662-4443
Editore: Nature
DOI: 10.1038/s43246-023-00423-x