NANOSYM

Simulation of directed self-assembly of nanocrystals

 Coordinatore THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE 

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Ms.
Nome: Dawn
Cognome: Barker
Email: send email
Telefono: -334722
Fax: -334167

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 160˙658 €
 EC contributo 160˙658 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2007-2-1-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-06-07   -   2011-06-06

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Ms.
Nome: Dawn
Cognome: Barker
Email: send email
Telefono: -334722
Fax: -334167

UK (CAMBRIDGE) coordinator 0.00

Mappa


 Word cloud

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

crystals    simulation    nucleation    combination    crystal    sampling    techniques    colloids    barrier    nano    size    charged    grow   

 Obiettivo del progetto (Objective)

'The aim of the proposed research is to use novel Monte Carlo simulation techniques in order to gain insight into the factors that control the nucleation and growth of crystals of charged nano-colloids. Recent experiments (Shevchenko et al, Nature 439, 55(2006)) have shown that it is possible to grow a wealth of different crystal structures from binary mixtures of charged nano-colloids. However, the factors that determine which crystals will grow and which ones will remain microscopic in size are, at present, not understood. It is clear that both the charge and the size ratio of the nano-colloids plays a role. We aim to use a combination of different simulation techniques to predict the stability and nucleation barrier of such nano-colloidal crystals. Understanding these factors is important because nano-particle crystals can find applications in nanoelectronics, plasmonics, high-density data storage, catalysis, and biomedical materials. In our study, we will developed suitable models for the interaction between the nano-colloids. Subsequently, we will use a combination of various computational schemes (umbrella sampling, parallel tempering, forward flux sampling), to compute the barrier that determines the rate of crystal nucleation and the free energy of possible (meta)stable intermediates.'

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