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Computational Characterisation of Gold Nanocluster Structures

ST: COMPTTNL CHARACTERISATION GOLD NANOCLUSTER STRCTRS

Nanotechnology

Mathematics & Science

Gt Product Group

Binding Format

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B2B GT

CL Carton Count

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B2B & B2C

In this thesis, Andrew Logsdail demonstrates that computational chemistry is a powerful tool in contemporary nanoscience, complementing experimental observations and helping guide future experiments. The aim of this particular PhD is to further our understanding of structural and compositional preferences in gold nanoparticles, as well as the compositional and chemical ordering preferences in bimetallic nanoalloys formed with other noble metals, such as palladium and platinum. Highlights include: calculations of the structural preferences and optical-response of gold nanoparticles and gold-containing nanoalloys; the design and implementation of novel numerical algorithms for the structural characterisation of gold nanoparticles from electron microscopy images; and electronic structure calculations investigating the interaction of gold nanoparticles with graphene and graphite substrates.The results presented here have significant implications for future research on the chemical and physical properties of gold-based nanoparticles and are of interest to many researchers working on experimental and theoretical aspects of nanoscience.

POST SECONDARY FOUR YEAR

COLFR

COLSO

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COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Other Frontmatter.
Title Page.
Copyright Page.
Other Frontmatter.
Supervisor&#x0027;s Foreword.
Acknowledgments.
Contents.
Abbreviations and Acronyms.
1: Introduction.
2: Calculating the Structural Preference of High Symmetry Clusters for PdN, AuN, and (PdAu)N.
3: Method Development for Comparing Scanning Transmission Electron Microscope Images to Theoretical Structures.
4: A First-Principles Study of the Soft-Landing of Au16 on Graphite.
5: Simulating the Optical Properties of Au Nanoclusters and Nanoalloys.
6: Concluding Remarks.
Appendix A: Plot of Gupta Potential and Cutoff.
Appendix B: Data from the Development of a Genetic Algorithm to Characterise Scanning Transmission Electron Microscope Images.
Appendix C: First-Principles Calculations of an Au16 Nanocluster on Graphite.
Appendix D: Extinction Spectra Plots from Optical Calculations.

Computational Characterisation of Gold Nanocluster Structures.css-1p8rvzy{position:absolute;padding-left:8px;}

Computational Characterisation of Gold Nanocluster Structures