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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.

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

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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