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Thesis

Informed modeling of disorder

Abstract:

Understanding structure is paramount in developing structure-property relationships in all categories of materials, from hard to soft matter. Developing this understanding becomes particularly challenging in the realm of disorder, where the notion of periodicity breaks down. For systems of increasing disorder, the experimental probes of canonical crystallography contain diminishing information content, and traditional methods prove insufficient for structural solution. This thesis uses the...

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Division:
MPLS
Department:
Chemistry
Sub department:
Inorganic Chemistry
Role:
Author

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Role:
Supervisor


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
UUID:
uuid:e792e699-7d4e-4566-8a7e-e31a955a53c1
Deposit date:
2018-08-16
ARK identifier:

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