Computational Characterisation of Gold Nanocluster Structures
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 prefe...
Na minha lista:
| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Cham :
Springer International Publishing
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2013. |
| Colecção: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Characterisation of Gold Nanocluster Structures, Texte imprimé, 9783319014920 • Computational Characterisation of Gold Nanocluster Structures, Texte imprimé, 9783319014944 • Computational Characterisation of Gold Nanocluster Structures, Texte imprimé, 9783319014920 • Computational Characterisation of Gold Nanocluster Structures, Texte imprimé, 9783319348650 |
Sumário:
- 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