Computational Characterisation of Gold Nanocluster Structures
Author:   Andrew James Logsdail
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2013
ISBN:  

9783319348650


Pages:   209
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational Characterisation of Gold Nanocluster Structures


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Author:   Andrew James Logsdail
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2013
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   3.518kg
ISBN:  

9783319348650


ISBN 10:   3319348655
Pages:   209
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

From the Contents: Calculating the Structural Preference of High Symmetry Clusters for PdN, AuN, and (PdAu)N.- Method Development for comparing Scanning Transmission Electron Microscope Images to Theoretical Structures.- A First-Principles Study of the Soft-landing of Au16 on Graphite.

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Dr. Andrew J. Logsdail studied his BSc (2003 - 2006), MRes (2006 - 2008) and PhD (2008 - 2012) in the School of Chemistry at the University of Birmingham, UK, with the latter two focused on characterising metallic nanoparticles, performed under the guidance of Professor Roy L. Johnston. In 2012 he moved to the Department of Chemistry at University College London, UK, working to develop novel methods for the characterisation of bulk defects in technologically important materials as a Postdoctoral Associate in the group of Professor C. Richard A. Catlow.

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