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University of Cambridge

Big data, bigger magnets, and tiny high-temperature superconducting cuprates

Abstract

dc:description.abstract

This work focuses on high magnetic field studies of the high-temperature cuprate superconductor YBa<sub>2</sub>Cu<sub>3</sub>O<sub>y</sub> (YBCO) and associated data processing. YBCO is of much interest due to its high critical temperature (>90 K) and complex phase diagram containing many exotic phases. This work makes use of high magnetic fields (>30 T) to suppress the superconductivity and access under-explored parts of this phase diagram. The region of particular interest in this work is around 12 % hole doping where there is the charge density wave (CDW) region. The CDW is an ordered electronic state which has a large overlap with the high-temperature superconducting dome. In this region and on its periphery there are non-ohmic, quantum critical, and phase competition behaviours. To explore and disentangle these various effects, many high-field measurements have been taken over a range of temperatures, magnetic fields, applied currents, and hole dopings. The main focus of this work is developing and applying data processing methods to collate and explore these measurements to the fullest. Through the collection of many analysis steps and their visualisation into a single pipeline, synergies appear allowing consistent treatment across large datasets. From this, contour maps can be produced allowing mapping of the phase diagram using a variety of metrics. From the application of these techniques, three areas of enquiry stand out. Firstly, the superconductivity in YBCO extends to unexpectedly high applied magnetic fields at the lowest temperatures, and this is examined by studying the non-ohmic behaviour to understand the vortex dynamics. Secondly, the extent of the CDW in YBCO seems to vary on measurement technique indicating changing dynamics with temperature. Finally, the end of the CDW dome has been associated with quantum criticality and is further explored with magnetotransport measurements.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hickey, Alexander
Advisor dc:contributor.advisor
  • Grosche, Malte

Subjects

dc:subject × 6

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
DOI dc:identifier.doi
https://doi.org/10.17863/CAM.105672
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/363748

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hickey, Alexander. Big data, bigger magnets, and tiny high-temperature superconducting cuprates. Doctoral thesis, University of Cambridge, 2022. https://doi.org/10.17863/CAM.105672