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dc.contributor.advisorLarsen, Helge Bøvik
dc.contributor.authorRamsnes, Stian Penev
dc.date.accessioned2022-05-12T13:22:15Z
dc.date.available2022-05-12T13:22:15Z
dc.date.issued2022-05
dc.identifier.citationDirect- and reciprocal space structure modelling: Contributions to the advanced understanding of inclusion compounds by Stian Penev Ramsnes, Stavanger : University of Stavanger, 2022 (PhD thesis UiS, no. 644)en_US
dc.identifier.isbn978-82-8439-081-9
dc.identifier.issn1890-1387
dc.identifier.urihttps://hdl.handle.net/11250/2995486
dc.description.abstractThe main content of this thesis falls naturally into one of two parts. The chapters come in an order which follows the research development, but encapsulates single topics enough to allow the reader some flexibility. In short, this work concerns the study of one particular inclusion compound, and all the programming utilities that have been developed in an attempt to tackle this structure as well as others like it. We have sought to gather more details about what happens to the structure in the midst of a chaotic phase transition. This has been done by a non-standard approach of diligent entity construction, seeking to bring a model to perfection by invoking direct space modelling with reciprocal space validation. The idea is simple, but has proven more difficult to conduct to an end. Part I comprises the structural information and data analysis of the central analysis subject: the thiourea-ferrocene inclusion compound (TFIC). It is divided into chapters with a logical progression: starting with a background on host–guest inclusion complexes and details on the TFIC from the literature in Chapter 1. Then, our experimental details and qualitative investigation is compiled in Chapter 2. The next step is data reduction and structure solutions, covered in Chapter 3. Some background theory and information on twinning is covered in Appendix A. Part II starts off with a presentation of the developed Mathematica package in Chapter 4. The reader will learn what it is and how it may serve as a utility in the field of crystallography. Its origin, functionality and purpose will be examined in a summary of its two articles. The subject of model construction will be emphasised, and the thesis will culminate with demonstrations of its capability in Chapter 5 where models are tailored to the specific TFIC system. The associated simulations of the diffraction patterns are compared with experimental counterparts in order to ascertain what characteristics may be ascribed to the structure during the prominent phase transition; discussions that bring the separate topics together are made in the concluding Chapter 6, which summarises the most important findings on the TFIC. The following work (published, or to be published) comprises this thesis, listed chronologically: I Stian Ramsnes, Helge Bøvik Larsen and Gunnar Thorkildsen. ‘Using Mathematica as a platform for crystallographic computing’. In: Journal of Applied Crystallography 52.1 (Feb. 2019), pp. 214–218. doi: 10.1107/S1600576718018071 (see page 156) II Stian Penev Ramsnes, Helge Bøvik Larsen and Gunnar Thorkildsen. ‘MaXrd updated with emphasis on model construction and reciprocal-space simulations’. In Journal of Applied Crystallography 53.6 (Dec. 2020), pp. 1620–1624. doi: 10.1107/S160057672001328X (see page 161) III Stian Penev Ramsnes et al. ‘Complementary Synchrotron Diffraction and Simulation Studies on a Ferrocene:Thiourea Inclusion Compound’. To be published. 2022 The first paper concerns the release of the Mathematica X-ray diffraction package (MaXrd). In essence, it contains point- and space group information from the International Tables for Crystallography and tabulated data on scattering factors and cross sections, required for calculations related to X-ray physics. Included are also functions to utilise this data, with a documentation demonstrating their usage. Highlighted functionality includes extraction of symmetry data, data import from cif files, calculations of structure factors, linear absorption coefficients and unit cell transformations. The second article was submitted once a practical structure modelling extension had been sufficiently generalised. The imported cif data could now be employed to create and visualise crystal structures. Many additions depended on the original symmetry-related foundation, but a few brought novel concepts into the package, such as the function for making domains. The focus on model construction was motivated by the study of a host–guest complex, hence the ability to embed one crystal entity into another. With the possibility to simulate the diffraction patterns (reciprocal space maps), a way of comparing a customised structure with experimental data was realised. The third article conveys our findings on the thiourea–ferrocene inclusion compound. Complementary studies have been conducted in three areas: qualitative exploration of reciprocal space, quantitative structure solutions of synchrotron data and various model investigations with the MaXrd utility package in Mathematica. We discuss both supporting evidence and shortcomings of the prevalent high- and low-temperature phases of the TFIC structure. It is said that if you’re unable to provide a clean and short explanation on a subject, you don’t understand it well enough. In any case, capturing the thesis in a single sentence is a good exercise. Since the first part is about method development, a conclusive remark does not fit as much as for the second part, for which a fitting and simplistic one-liner conclusion for the layman may be: The cold makes the guest molecules inside the honeycomb network halt their motion and shatters the neat pattern, but heating it makes everything fine again, even if the crystal was a twin to begin with.en_US
dc.language.isoengen_US
dc.publisherUniversity of Stavanger, Norwayen_US
dc.relation.ispartofseriesPhD thesis UiS;
dc.relation.ispartofseries;644
dc.relation.haspartPaper I: Ramsnes, S., Larsen, H.B. and Thorkildsen, G. (2019) Using Mathematica as a platform for crystallographic computing. Journal of Applied Crystallography, 52(1), pp. 214–218. doi: 10.1107/S1600576718018071
dc.relation.haspartPaper II: Ramsnes, S.P., Larsen, H.B. and Thorkildsen, G. (2020) MaXrd updated with emphasis on model construction and reciprocal-space simulations. Journal of Applied Crystallography, 53(6), pp. 1620–1624. doi: 10.1107/S160057672001328X
dc.relation.haspartPaper III: Ramsnes, S.P. et al. ‘Complementary Synchrotron Diffraction and Simulation Studies on a Ferrocene:Thiourea Inclusion Compound’. To be published. 2022
dc.subjectthiourea-ferrocene inclusion compounden_US
dc.subjectcrystallographyen_US
dc.titleDirect- and reciprocal space structure modelling: Contributions to the advanced understanding of inclusion compoundsen_US
dc.typeDoctoral thesisen_US
dc.rights.holder© 2022 Stian Penev Ramsnesen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US


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