Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.683912
Title: Forces between nanoparticles in a nematic host : a simulation study
Author: Fenech, Thomas Joseph William
ISNI:       0000 0004 5919 0769
Awarding Body: University of Bristol
Current Institution: University of Bristol
Date of Award: 2015
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Abstract:
Colloidal dispersions in a nematic liquid crystal host are an emerging system in soft matter. They are of fundamental interest due to the long range interactions that the liquid crystal mediates between the colloidal particles. It has been shown that these interactions can result in self-assembly of colloidal crystal structures, which has great potential in the creation of a new class of metamaterials. Although nematic liquid crystals are a mature field of research, there is still a great deal that remains unknown regarding their role in governing the interaction between colloidal particles. Analytical solutions can only predict the behaviour of the system in the most simple of cases. In order to understand experimental observations and predict the behaviour of novel systems, numerical simulations are an essential tool. As the complexity of the system increases, so too does the computational expense of modelling it. Previous numerical studies have often focused on a very specific problem, relying on the ability to reduce it to a more simple one via symmetry arguments. While this is a useful means of analysing a given case, it leads to a model that is inflexible. If one is to develop a more general-purpose tool to study a wider variety of systems, a crucial consideration is the performance. In order to harness the full potential of modern computers, it is essential to expose the maximum degree of parallelism in a given problem. In this work, an existing algorithm used to model nematic liquid crystals has been ported to a platform that is capable of fully exploiting the levels of parallelism in modern computing systems. This has facilitated the study of systems much larger than could previously be simulated within reasonable time frames.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.683912  DOI: Not available
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