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FUN-PM SIGNED

Fundamental Understanding of Nanoparticle chemistry: towards the prediction of Particulate emissions and Material synthesis

Total Cost €

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EC-Contrib. €

0

Partnership

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 FUN-PM project word cloud

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

carbonaceous    citizens    modern    innovative    functional    utilized    technologies    date    time    complementary    urgent    reaction    fuel    first    predict    particle    precursors    optimized    engines    shock    dynamics    detection    model    ab    unresolved    solutions    advantage    flame    optimization    full    while    obtain    conventional    clean    disciplinary    economy    societies    rate    pah    incomplete    constitute    benefits    living    absence    fluid    discoveries    particulate    fun    questions    environment    inception    unknown    tube    synthesis    fascinating    kinetic    newly    standards    industrial    revealed    experimentally    limited    calculations    extensive    transportations    initio    transportation    concerning    tools    nanoparticle    emissions    pm    answer    single    techniques    oxidation    cfd    accurately    theoretical    coupled    constructed    successful    engine    considerable    codes    fuels    combustion    chemical    chemistry    reformulation    isolated    nanomaterials    synchrotron    subsequent    experimental    prediction    otherwise    base    extraordinary    molecular    repetition   

Project "FUN-PM" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Total cost 1˙493˙838 €
 EC max contribution 1˙493˙838 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-02-01   to  2023-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 1˙493˙838.00

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 Project objective

While modern societies are facing urgent challenges related to reduction of particulate matter emissions from transportation engines, recent discoveries on the extraordinary properties of carbonaceous functional nanomaterials have revealed opportunities associated with large-scale, flame-based synthesis of these otherwise unwanted combustion products. In both cases, our ability to study new, optimized solutions based on the specific industrial end-user needs is limited by the absence of theoretical tools able to accurately predict the fluid dynamics and the chemistry involved in nanoparticle formation. Indeed, current knowledge on this fascinating but complex process is still rather incomplete. The proposed research program, FUN-PM, will apply an innovative multi-disciplinary, multi-step approach in order to finally answer many unresolved kinetic questions concerning in particular: 1) formation and growth of molecular PAH precursors; 2) particle inception; 3) subsequent particle growth and oxidation. Each single step will be experimentally isolated taking full advantage of complementary conventional shock tube techniques and up-to-date synchrotron-based detection technologies coupled to a newly constructed high-rate repetition shock tube. If successful, the novel synchrotron-shock tube techniques will be utilized for the first time to obtain unique information on unknown key processes. The experimental results, with extensive theoretical ab-initio calculations on relevant PAH reaction pathways, will constitute the base for the development of a comprehensive, detailed chemical kinetic model for particle chemistry applied to Real Fuels. Such model will improve the prediction capabilities of current CFD codes for use in engine design, fuel reformulation, or industrial process optimization, with considerable benefits to the standards of living of European citizens, the environment, and the EU economy, towards the future of clean transportations and novel nanomaterials.

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