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...
Zapisane w:
| 1. autor: | |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Cham :
Springer International Publishing
[20..].
Cham : Springer Nature |
| Wydanie: | 1st ed. 2013. |
| Seria: | Springer Theses, Recognizing Outstanding Ph.D. Research
|
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
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 |
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| 009 | PPN172424046 | ||
| 020 | |a 9783319014937 | ||
| 041 | 0 | |a eng | |
| 082 | |a 541.2 | ||
| 100 | 1 | |a Logsdail, Andrew James. | |
| 245 | 1 | 0 | |a Computational Characterisation of Gold Nanocluster Structures |c by Andrew James Logsdail. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Cham : |b Springer International Publishing. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Theses, Recognizing Outstanding Ph.D. Research |x 2190-5061 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 776 | 0 | |t Computational Characterisation of Gold Nanocluster Structures |b Texte imprimé |z 9783319014920 | |
| 776 | 0 | |t Computational Characterisation of Gold Nanocluster Structures |b Texte imprimé |z 9783319014944 | |
| 776 | 0 | |t Computational Characterisation of Gold Nanocluster Structures |b Texte imprimé |z 9783319014920 | |
| 776 | 0 | |t Computational Characterisation of Gold Nanocluster Structures |b Texte imprimé |z 9783319348650 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-319-01493-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-ZCWCMB14-X |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747818053 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-319-01493-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750834625 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-319-01493-7 |z Accès INSA CVL | |
| 997 | |0 946958 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||