Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550625
Title: Computational characterisation of gold nanocluster structures
Author: Logsdail, Andrew James
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2012
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Abstract:
This thesis presents computational work on the structures, characterisation and optical properties of homogeneous gold nanoclusters, and gold-containing bimetallic nanoalloys. An introductory overview of nanoscience is followed by four results chapters in which various computational methods are applied to elucidate properties that are not fully understood; from these results areas for future development, and application, are identifed. Chapter 2 looks at structural motif preference as a function of composition and size for Au and Pd. Bimetallic (AuPd)_N particles are further studied, with thermodynamic preference found for Au_shellPd_core configurations with a monolayer Au shell. Chapter 3 discusses the development and implementation of a genetic algorithm designed to aid the determination of the structures of small nanoclusters from images taken with a scanning transmission electron microscope. The implementation of a search method proves efficient at identifying high-symmetry test clusters, and shows promise for further application to the identification of cluster structure from experimental images. Chapter 4 contains a first-principles study of Au₁₆ deposited on a graphite substrate. We introduce surface defects to see their influence on the nanocluster structure, as well as testing for potential catalytic applications. Finally, Chapter 5 looks at the optical response of monometallic and bimetallic nanoparticles. Surface plasmon resonance spectra are calculated for a variety of geometries, compositions and chemical ordering. The greatest influence on the extinction spectra is attributed to the particle shape and its environment.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.550625  DOI: Not available
Keywords: QA75 Electronic computers. Computer science ; QD Chemistry ; T Technology (General) ; TN Mining engineering. Metallurgy ; TP Chemical technology
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