Skip to main content
European Commission logo print header

Cognitive Networks for Intelligent Materials and Devices

Objectif

"COGnitive NETwork (COGNET) is a new technology platform for materials, sensor and device design that exploits unique and hitherto unrecognised properties of random nanowire (NW) networks. These networks—comprised of metallic or semiconducting NWs connected to each other via junctions with controllably random property distributions—lead to new and unexpected levels of connectivity that are inherently scale dependent, creating opportunities for entirely new kinds of self-organised materials and devices. We propose to establish the ground rules for manipulating connectivity in NW networks. By choosing appropriate NWs and incorporating junctions with the approprate properties COGNET will enable the fabrication of (i) intelligent materials, (ii) neural networks and (iii) memory devices. Sequenced voltage pulse and back-gating techniques will in turn address and manipulate specific junctions or sets of junctions to demonstrate even higher density memory and in the case of neural networks, the possibility synaptic plasticity and self-learning."

Appel à propositions

ERC-2012-ADG_20120216
Voir d’autres projets de cet appel

Régime de financement

ERC-AG - ERC Advanced Grant

Institution d’accueil

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Contribution de l’UE
€ 2 497 125,00
Adresse
COLLEGE GREEN TRINITY COLLEGE
D02 CX56 DUBLIN 2
Irlande

Voir sur la carte

Région
Ireland Eastern and Midland Dublin
Type d’activité
Higher or Secondary Education Establishments
Contact administratif
Deirdre Savage (Ms.)
Chercheur principal
John Boland (Prof.)
Liens
Coût total
Aucune donnée

Bénéficiaires (1)