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dc.contributor.advisorWahl, Peter
dc.contributor.advisorKing, Phil
dc.contributor.authorArmitage, Olivia Rachel
dc.coverage.spatial260en_US
dc.date.accessioned2024-05-07T11:52:14Z
dc.date.available2024-05-07T11:52:14Z
dc.date.issued2024-06-10
dc.identifier.urihttps://hdl.handle.net/10023/29818
dc.description.abstractUnderstanding the properties of materials is essential for control of their behaviour for future applications. Devices based on two-dimensional van der Waals materials have wide-ranging technological possibilities, from computer components to light-emitting diodes and sensors. Over the last twenty years, these potential applications have begun to be explored experimentally, and a variety of materials have been studied in monolayer form, including semiconductors, superconductors and, more recently, magnetic materials. These are necessary for realising spintronic devices, which would offer higher performance and lower energy loss than existing charge-based technologies. However, two-dimensional materials are currently far less well understood than silicon, the principal material in modern electronic devices. For a complete understanding of their behaviour, investigation using a range of experimental and theoretical techniques is necessary. In this thesis I present the setup of an ultra-high vacuum scanning tunnelling microscope (STM), compatible with molecular beam epitaxy and angle-resolved photoemission spectroscopy facilities, and capable of measuring the structural and electronic properties of monolayer samples at low temperature. This STM is used to study thin film samples of the magnetic materials chromium selenide and chromium telluride. The results are compared with theoretical calculations of the electronic structure and simulated scanning tunnelling microscopy (STM) images. I also present STM measurements of bulk Fe₃GeTe₂, investigating its electronic and magnetic properties. For these materials I show how experimental and theoretical methods can be combined to determine crystal structures, interpret electron scattering patterns and investigate the effects of magnetic order and electron correlations on the band structure. I also explore applications of machine learning in the analysis of STM images, using convolutional neural networks to detect features on the surfaces of PdCrO₂ and sulphur-doped FeSe. The demonstration of the application of these techniques to study the properties of two-dimensional materials provides the methods for future investigations.en_US
dc.language.isoenen_US
dc.relationData underpinning Olivia Rachel Armitage's thesis Armitage, O. R., University of St Andrews, 1 May 2026. DOI: https://doi.org/10.17630/28c15d01-6886-4917-b427-8a6585b31721en
dc.subjectScanning tunnelling microscopyen_US
dc.subjectMagnetismen_US
dc.subjectTwo-dimensional materialsen_US
dc.titleScanning tunnelling microscopy of magnetic van der Waals materialsen_US
dc.typeThesisen_US
dc.contributor.sponsorEngineering and Physical Sciences Research Council (EPSRC)en_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.rights.embargodate2026-05-01
dc.rights.embargoreasonThesis restricted in accordance with University regulations. Restricted until 1 May 2026en
dc.identifier.doihttps://doi.org/10.17630/sta/878
dc.identifier.grantnumberEP/R513337/1en_US


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