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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.

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

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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