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

Informacje na temat projektu

RadioSpin

Identyfikator umowy o grant: 101017098

DOI

10.3030/101017098

Data podpisania przez KE 1 Grudnia 2020

Data rozpoczęcia 1 Stycznia 2021

Data zakończenia 31 Października 2026

Finansowanie w ramach

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Koszt całkowity

€ 3 872 942,83

Wkład UE

€ 3 872 942,50

Koordynowany przez

UNIVERSITE DE BORDEAUX
France

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Peer reviewed articles (9)

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

Autorzy: Bilal Khalid; Banafsheh Khalesi; Navid Ghavami; Lorenzo Sani; Alessandro Vispa; Mario Badia; Sandra Dudley; Mohammad Ghavami; Gianluigi Tiberi
Opublikowane w: IEEE Access, Vol 10, Pp 106770-106780 (2022), Numer 4, 2022, ISSN 2169-3536
Wydawca: 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

Autorzy: 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
Opublikowane w: Diagnostics, Vol 13, Iss 12, p 2100 (2023), Numer 1, 2023, ISSN 2075-4418
Wydawca: MDPI
DOI: 10.3390/diagnostics13122100

Convolutional neural networks with radio-frequency spintronic nano-devices

Autorzy: Nathan Leroux; Arnaud De Riz; Dedalo Sanz-Hernandez; Danijela Markovic; Alice Mizrahi; Julie Grollier
Opublikowane w: Electronics, Numer 1, 2022, ISSN 2079-9292
Wydawca: MDPI
DOI: 10.1088/2634-4386/ac77b2

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

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

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

Autorzy: Alejandro Schulman, Elvira Paz, Tim Böhnert, Alex Steven Jenkins, Ricardo Ferreira
Opublikowane w: Advanced Functional Materials, 2023, ISSN 1616-3028
Wydawca: Wiley
DOI: 10.1002/adfm.202305238

Multilayer spintronic neural networks with radiofrequency connections

Autorzy: 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
Opublikowane w: "Nature Nanotechnology, 2023, ⟨10.1038/s41565-023-01452-w⟩", Numer 2, 2023, ISSN 1748-3395
Wydawca: Nature
DOI: 10.1038/s41565-023-01452-w

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

Autorzy: Banafsheh Khalesi; Bilal Khalid; Navid Ghavami; Giovanni Raspa; Mohammad Ghavami; Sandra Dudley-McEvoy; Gianluigi Tiberi
Opublikowane w: Convolutional neural networks with radio-frequency spintronic nano-devices, Numer 1, 2022, ISSN 2634-4386
Wydawca: IOP Publishing Ltd
DOI: 10.3390/electronics11132105

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

Autorzy: Leandro Martins, Alex S. Jenkins, Lara San Emeterio Alvarez, Jérôme Borme, Tim Böhnert, João Ventura, Paulo P. Freitas & Ricardo Ferreira
Opublikowane w: Scientific Reports, Numer 11, 2021, Strona(/y) 16094, ISSN 2045-2322
Wydawca: 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

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