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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. €

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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.

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

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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