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Subject:
Emisor:
Alessandro Patti <[log in para visualizar]>
Reply To:
Alessandro Patti <[log in para visualizar]>
Fecha:
Tue, 24 Jun 2014 17:32:02 +0200
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A PhD position is available at the School of Chemical Engineering and Analytical Science, The University of Manchester, on the dynamics of colloidal particles in biaxial nematic liquid crystals. 

Anisotropic colloidal particles, such as rod-, plate- and board-like particles, are able to spontaneously self-assemble into a variety of liquid crystalline phases when brought in suspension. Since its first prediction in the early 1970s, the biaxial nematic (NB) phase, comprising two distinct optical axes, has strongly attracted the interest of the liquid crystal (LC) community and today is foreseen to be the preeminent candidate for the next generation liquid-crystal displays (LCDs). By molecular simulation and modelling we aim to unveil the dynamics of colloidal board-like particles in (polydisperse) biaxial nematic LCs and hence address their potential applicability for the next generation LCDs. More precisely, we aim to (i) predict and control the alignment of the minor and main optical axes under an applied electric field, (ii) understand how fast the minor directors rotate as compared to the main director, and (iii) study the ability of the external field to heal eventual structural defects in the material.


Candidates should have a degree in chemical engineering, chemistry, physics or related disciplines. Familiarity on molecular simulation techniques (Molecular Dynamics and/or Monte Carlo) and experience with programming is highly desirable.


This research project is one of a number of projects in the School. It is in competition for funding with other projects. The funding is available to citizens of a number of European countries (including the UK). In most cases this will include all EU nationals. Overseas applicants are welcome to apply, but will need to apply for their own funding or pay their own tuition fees.


For more information about the position, follow the link:

http://www.findaphd.com/search/ProjectDetails.aspx?PJID=55549

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