Unraveling material heterogeneity : combining nuclear magnetic resonance with statistical modeling /
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(Published version)
Date
2017
Authors
Williamson, Nathan Hu,
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Type:
thesis
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Abstract
A strong understanding of how the characteristics of a system relate to each other can aid in optimizing system performance. Unfortunately, the characteristics of heterogeneous systems are distributed and there is no straightforward way of relating the distributions to one another. Therefore, in materials science and engineering, heterogeneity is often a barrier to scientific discovery and technological advancement. We envisage that this barrier to understanding material properties and their relationships will be overcome with the capability to embrace distributions advantageously. The goal of this thesis is to provide proof of concept and apply statistical distribution modeling to systems possessing material heterogeneity.
School/Discipline
University of South Australia. Future Industries Institute.
Future Industries Institute.
Future Industries Institute.
Dissertation Note
Thesis (PhD(Energy and Advanced Manufacturing))--University of South Australia, 2017.
Provenance
Copyright 2017 Nathan Hu Williamson.
Description
1 ethesis (xv, 128 pages) :
illustrations (chiefly colour)
Includes bibliographical references (pages 116-128)
illustrations (chiefly colour)
Includes bibliographical references (pages 116-128)
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506 0#$fstar $2Unrestricted online access