<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-22T08:47:40Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/376447" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/376447</identifier><datestamp>2024-11-26T01:41:27Z</datestamp><setSpec>com_1810_213729</setSpec><setSpec>com_1810_256065</setSpec><setSpec>col_1810_219485</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Resolving oxidation phenomena in layered semiconductors and scaled heterogeneous integration for low-power electronics</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">https://doi.org/10.17863/CAM.113679</dc:identifier>
   <dc:creator>Chirca, Irina</dc:creator>
   <uketdterms:advisor>Hofmann, Stephan</uketdterms:advisor>
   <dcterms:abstract>Efficient materials development demands high-throughput experimental workflows and
prompt feedback loops across all stages, from materials growth to device fabrication and
quality control. There is a crucial need for characterisation approaches that can resolve
both intricate structure-property relations at the atomic layer level and enable intelligent,
cost-effective screening at high throughput. This is particularly pertinent to 2D materials,
where there continue to be many unexplored layer- and stacking-dependent properties.
This work details the development and implementation of a spectroscopic imaging
ellipsometry (SIE) approach for the multi-scale analysis of layered semiconductors, focusing
on oxidation phenomena. A versatile fitting algorithm is adapted for the rapid determination
of the material’s complex dielectric function (ε), enabling optical modelling of multi-layer
heterostructures. Combined with the various modes of SIE operation, it has the potential to
unlock fast, high-throughput, large-area capability to better understand material stability and
oxidation mechanisms, as well as accelerate process development.
This methodology is adjustable to multiple material systems and advantageously agnostic
to the underlying substrate, as exemplified through the analysis of HfS2, GaS, and monolayer
WS2 systems. Given the facile extraction of their ε, we demonstrate the construction of
optical models for accurate layer-thickness determination in partially oxidised samples. This
can be scaled to the non-destructive 3D mapping of semiconductor / oxide heterostructures,
from 1 μm lateral resolution to wafer-scale processing.
When applied to the study of HfS2 oxidation, this methodology enables ready access
to buried HfS2 layers, oxide quality, and lateral and vertical uniformity. The SIE analysis
of the native oxide layer as a function of oxidation conditions reveals the large variation in
thickness and optical properties achievable through fine-tuning of the reaction parameters.
Moreover, operando capability is demonstrated for thermal oxidation up to 400 ◦C, providing
insights into the temperature- and time-dependent nature of self-limiting oxide growth, and
the trapping and eventual release of sulphur reaction products. Finally, this SIE methodology
is used to inform the fabrication conditions of semiconductor / oxide heterostructures for
future integration into resistive switching devices.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2024-05-04</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>eng</dc:language>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/376447</dcterms:isReferencedBy>
   <dc:identifier xsi:type="dcterms:URI">https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/6dc8edfd-86b9-43cd-9554-5df391f8f58f/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">75be8349203561849ca09cd66572ef86</uketdterms:checksum>
   <dcterms:license>https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/9f1d6347-1b24-4683-bf0e-2283d4b6a629/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>2D materials</dc:subject>
   <dc:subject>Oxidation</dc:subject>
   <dc:subject>Low-power electronics</dc:subject>
   <dc:subject>Spectroscopic imaging ellipsometry</dc:subject>
</uketd_dc:uketddc>
</metadata></record></GetRecord></OAI-PMH>