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Simulating atomic force microscopy at the solid-liquid interface

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Tracey, John
dc.date.accessioned 2017-11-22T10:03:03Z
dc.date.available 2017-11-22T10:03:03Z
dc.date.issued 2017
dc.identifier.isbn 978-952-60-7718-5 (electronic)
dc.identifier.isbn 978-952-60-7717-8 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28897
dc.description.abstract NC-AFM is an experimental technique that is capable of imaging, in principle, any surface at atomic resolution in any environment. Despite the clear advantages of NC-AFM, the biggest drawback is with regards to the interpretation of the results. Typically theoretical simulations are conducted to assist with this. A key component in linking theoretical simulations and the experimental results is the use of virtual machines. These aim to reproduce the experiment, allowing for a more complete simulation. The PyVAFM presented within, is such a virtual machine allowing users to reproduce any experimental setup or operational mode. It is fully open source, allowing future users to update the software with new cutting edge experimental components. Solid-liquid interfaces play a key role in many natural processes such as weathering or biomineralisation. In order to understand these processes, it is important to gain insight into the atomic structure behind them. Exploration of solid-liquid interfaces by NC-AFM is common, although due to the additional complexity of the environment as well as the experiment, the measured signal is difficult to relate to physical processes. As part of this work, we examine experimental results of Frequency Modulated-Atomic Force Microscopy (FM-AFM) on calcite in water and reproduce them using the PyVAFM, in an attempt to understand them in terms of average tip-sample distance. Building upon this we also considered steps on a calcite surface, studied using a new high speed AFM set-up. It was found that a shadow appeared at the step edge that was previously unseen. Using a combination of molecular dynamics and simulated AFM images we developed a model of the shadow region giving insight into the dissolution process. A chemically similar material to calcite, dolomite contains a similar crystal structure, but every second Ca is replaced with a Mg. Up until now identification of chemically alike species with the same surface charge has not been demonstrated in liquids and represents a new benchmark in sensitivity. By comparing the subtle differences in FM-AFM frequency shift curves as well as the simulated water densities above the various cations, it was possible for us to identify the Mg and Ca sites on dolomite. The main theme linking all these topics is in the analysis of NC-AFM images. From this it is clear that it still remains challenging and is typically done by eye. This is a very subjective approach and unscientific. In this final section we endeavour to produce an algorithm that uses Fourier analysis of images to produce a score of how similar the two images are. We produced an algorithm that is insensitive to phase, rotation, scale and resolution and designed specifically for comparison of NC-AFM images, allowing increased objectivity when making such comparisons. en
dc.format.extent 110 + app. 44
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 222/2017
dc.relation.haspart [Publication 1]: John Tracey, Filippo Federici Canova, Olli Keisanen, David Z. Gao, Peter Spijker, Bernhard Reischl, Adam S. Foster. Flexible and modular virtual scanning probe microscope. Computer Physics Communications, Volume 196, p. 429-438, Nov. 2015. DOI: 10.1016/j.cpc.2015.05.013
dc.relation.haspart [Publication 2]: John Tracey, Keisuke Miyazawa, Peter Spijker, Kazuki Miyata, Bernhard Reischl, Filippo Federici Canova, Andrew L. Rohl, Takeshi Fukuma, Adam S. Foster. Understanding 2D atomic resolution imaging of the calcite surface in water by frequency modulation atomic force microscopy. Nanotechnology, Volume 27, Number 41, September 2016. DOI: 10.1088/0957-4484/27/41/415709
dc.relation.haspart [Publication 3]: Hagen Söngen, Christoph Marutschke, Peter Spijker, Eric Holmgren, Ilka Hermes, Ralf Bechstein, Stefanie Klassen, John Tracey, Adam S. Foster, Angelika Kuhnle. Chemical Identification at the Solid-Liquid Interface. Langmuir, Volume 33, Pages 125–129, December 2016. DOI: 10.1021/acs.langmuir.6b03814
dc.relation.haspart [Publication 4]: Kazuki Miyata, John Tracey, Keisuke Miyazawa, Ville Haapasilta, Peter Spijker, Yuta Kawagoe, Adam S. Foster, Katsuo Tsukamoto, Takeshi Fukuma. Atomistic Dissolution Model of Calcite in Water Revealed by High-Speed Atomic Force Microscopy. Nanoletters, Volume 17, Pages 4083–4089, June 2017
dc.subject.other Physics en
dc.title Simulating atomic force microscopy at the solid-liquid interface en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.school School of Science en
dc.contributor.department Teknillisen fysiikan laitos fi
dc.contributor.department Department of Applied Physics en
dc.subject.keyword molecular dynamics en
dc.subject.keyword solid-liquid interfaces en
dc.subject.keyword Atomic force microscopy en
dc.subject.keyword image recognition en
dc.identifier.urn URN:ISBN:978-952-60-7718-5
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Foster, Adam S., Prof., Aalto University, Department of Applied Physics, Finland
dc.opn Voitchovsky, Kislon, Dr., Durham University, UK
dc.contributor.lab Surfaces and Interfaces at the Nanoscale (SIN) en
dc.rev Jarvis, Samuel, Dr., Lancaster University, UK
dc.rev Nagata, Yuki, Dr., Max Planck Society, Germany
dc.date.defence 2017-12-15
local.aalto.formfolder 2017_11_22_klo_10_21
local.aalto.archive yes

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