Opendata, web and dolomites

BeFerroSynaptic SIGNED

BEOL technology platform based on ferroelectric synaptic devices for advanced neuromorphic processors

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 BeFerroSynaptic project word cloud

Explore the words cloud of the BeFerroSynaptic project. It provides you a very rough idea of what is the project "BeFerroSynaptic" about.

community    effect    featuring    ibm    realistic    units    iunet    unibi    inspired    ferrosynaptic    ftj    technologies    beol    fab    rtos    ultimate    adapt    von    academic    back    hf    ftjs    device    11    uzh    compute    power    synaptic    2018    paradigm    logic    trl    2020    conventional    attempt    neuro    electronic    constitute    transition    repealed    fefet    computing    architecture    integration    tud    designs    namlab    memory    eth    gap    universities    switching    efficient    assembles    fefets    line    junctions    solution    zr    platform    energy    extremely    cmos    hzb    industrial    endeavour    data    ncsrd    bottleneck    tunnelling    amount    transistors    processed    tackled    o2    bridge    centric    consultant    expertise    building    cea    beferrosynaptic    processor    separation    neumann    industry    polarization    complementary    wp    synergized    architectures    ferroelectric    physical    feasibility    neuromorphic   

Project "BeFerroSynaptic" data sheet

The following table provides information about the project.

Coordinator
NAMLAB GGMBH 

Organization address
address: NOTHNITZER STRASSE 64
city: DRESDEN
postcode: 1187
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 3˙998˙928 €
 EC max contribution 3˙998˙928 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    NAMLAB GGMBH DE (DRESDEN) coordinator 491˙967.00
2    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 677˙418.00
3    HELMHOLTZ-ZENTRUM BERLIN FUR MATERIALIEN UND ENERGIE GMBH DE (BERLIN) participant 406˙750.00
4    UNIVERSITAT ZURICH CH (ZURICH) participant 392˙862.00
5    UNIVERSITAET BIELEFELD DE (BIELEFELD) participant 387˙625.00
6    IBM RESEARCH GMBH CH (RUESCHLIKON) participant 364˙750.00
7    X-FAB Dresden GmbH & Co. KG DE (DRESDEN) participant 313˙000.00
8    "NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS""" EL (AGIA PARASKEVI) participant 307˙000.00
9    CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LA NANOELETTRONICA IT (BOLOGNA) participant 303˙250.00
10    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 262˙305.00
11    TECHNISCHE UNIVERSITAET DRESDEN DE (DRESDEN) participant 92˙000.00

Map

 Project objective

The increasing amount of data that has to be processed in today’s electronic devices requires a transition from the conventional compute centric paradigm to a more data centric paradigm. In order to bridge the existing gap between memory and logic units that is known as the classical von Neumann bottleneck the concept of physical separation between computing and memory unit has to be repealed. Neuro inspired architectures constitute a promising solution where both logic and memory functionality become synergized together in one synaptic unit. Our project BeFerroSynaptic addresses the specific challenges of the H2020-WP 2018-2020 by targeting for the development of electronic synaptic devices based on one of the most power-efficient memory technologies – the ferroelectric polarization switching. The ultimate goal of the BeFerroSynaptic project is to develop a ‘ferrosynaptic’ technology platform featuring back-end-of-line (BEOL) integrated Hf(Zr)O2-based ferroelectric field-effect transistors (FeFETs) and ferroelectric tunnelling junctions (FTJs) on top of an existing CMOS technology. Our attempt is to demonstrate the feasibility (TRL 4) of the ‘ferrosynaptic’ concept in an extremely energy-efficient neuromorphic computing architecture. To ensure a realistic endeavour, the ambitious challenges will be tackled by building the complementary FTJ and FeFET device development on existing technologies and adapt it to BEOL integration on top of a CMOS technology, and building on existing neuromorphic processor designs that will be adapted to the ‘ferrosynaptic’ technology. The BeFerroSynaptic consortium assembles a significant amount of resources and expertise. It includes representatives both from the academic and research community as well as from industry. The consortium is composed of 11 partners, of which 5 RTOs partners (CEA, NaMLab, NCSRD, IUNET, HZB), 4 universities (UZH, ETH, UNIBI, TUD as project consultant) and 2 industrial partners (X-FAB, IBM).

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BEFERROSYNAPTIC" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BEFERROSYNAPTIC" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.)

5G-COMPLETE (2019)

A unified network, Computational and stOrage resource Management framework targeting end-to-end Performance optimization for secure 5G muLti-tEchnology and multi-Tenancy Environments

Read More  

Smart2Go (2019)

Smart and Flexible Energy Supply Platform for Wearable Electronics

Read More  

NEoteRIC (2020)

NEuromorphic Reconfigurable Integrated photonic Circuits as artificial image processor

Read More