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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.

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

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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