ADAPT

Theory and Algorithms for Adaptive Particle Simulation

 Coordinatore INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore France [FR]
 Totale costo 1˙476˙882 €
 EC contributo 1˙476˙882 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2012-StG_20111012
 Funding Scheme ERC-SG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-09-01   -   2017-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

 Organization address address: Domaine de Voluceau, Rocquencourt
city: LE CHESNAY Cedex
postcode: 78153

contact info
Titolo: Dr.
Nome: Stephane
Cognome: Redon
Email: send email
Telefono: +334 7661 5569

FR (LE CHESNAY Cedex) hostInstitution 1˙476˙882.00
2    INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

 Organization address address: Domaine de Voluceau, Rocquencourt
city: LE CHESNAY Cedex
postcode: 78153

contact info
Titolo: Ms.
Nome: Fanny
Cognome: Rossetti
Email: send email
Telefono: +334 7661 5568

FR (LE CHESNAY Cedex) hostInstitution 1˙476˙882.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

tools    designed    nano    computers    samson    group    efficient    adaptive    macroscopic    software    simulation    progress    digital    theory    modeling    century    computational    engineering    atomic    particle    nanosystems    algorithms    simulating   

 Obiettivo del progetto (Objective)

'During the twentieth century, the development of macroscopic engineering has been largely stimulated by progress in digital prototyping: cars, planes, boats, etc. are nowadays designed and tested on computers. Digital prototypes have progressively replaced actual ones, and effective computer-aided engineering tools have helped cut costs and reduce production cycles of these macroscopic systems.

The twenty-first century is most likely to see a similar development at the atomic scale. Indeed, the recent years have seen tremendous progress in nanotechnology - in particular in the ability to control matter at the atomic scale. Similar to what has happened with macroscopic engineering, powerful and generic computational tools will be needed to engineer complex nanosystems, through modeling and simulation. As a result, a major challenge is to develop efficient simulation methods and algorithms.

NANO-D, the INRIA research group I started in January 2008 in Grenoble, France, aims at developing efficient computational methods for modeling and simulating complex nanosystems, both natural and artificial. In particular, NANO-D develops SAMSON, a software application which gathers all algorithms designed by the group and its collaborators (SAMSON: Software for Adaptive Modeling and Simulation Of Nanosystems).

In this project, I propose to develop a unified theory, and associated algorithms, for adaptive particle simulation. The proposed theory will avoid problems that plague current popular multi-scale or hybrid simulation approaches by simulating a single potential throughout the system, while allowing users to finely trade precision for computational speed.

I believe the full development of the adaptive particle simulation theory will have an important impact on current modeling and simulation practices, and will enable practical design of complex nanosystems on desktop computers, which should significantly boost the emergence of generic nano-engineering.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

SUPERSPIN (2012)

Triplet supercurrents and superconducting spintronics

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EPIGENETIX (2010)

Epigenetic regulation and monoallelic gene expression: the X-inactivation paradigm and beyond

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INZI (2012)

Investigating Networks of Zoonosis Innovation

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