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Characterizing Heterogenous Defect Structures in Spinel Oxides Disordered via Extreme Conditions

Date Issued
December 1, 2025
Author(s)
Hirtz, John M  
Advisor(s)
Maik K. Lang
Additional Advisor(s)
Eric C. O'Quinn
Steven J. Zinkle
Matthew G. Tucker
Kurt E. Sickafus
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/22053
Abstract

The development of advanced energy technologies requires carefully designed materials for use in harsh operating conditions, such as high temperatures, high pressures, and extreme radiation fields. Complex oxides are promising candidate materials for use in such advanced energy technologies; however, they are prone to disorder and defects which form during exposure to these extremes. Over time, such structural modifications build up and modify the properties of materials and eventually lead to their degradation. Thus, understanding the underlying atomic-scale mechanisms of defect formation is essential to, not only predict how these materials degrade, but also to develop new, more robust materials. Using neutron total scattering, both the long-range coherent structure and the local atomic arrangements can be measured simultaneously, with high sensitivity to both cations and anions; this presents a great advantage over more conventional characterization techniques. Neutron scattering has been used to analyze the unique local defect structures in spinel disorder through high temperature and through intense ionizing irradiation. Preliminary work was also performed, to expand this scattering technique to enable the study of materials disordered through high pressure.

Subjects

Spinel

Extreme Conditions

Neutron Total Scatter...

Swift Heavy Ion Irrad...

High Pressure

High Temperature

Disciplines
Ceramic Materials
Materials Science and Engineering
Nuclear Engineering
Degree
Doctor of Philosophy
Major
Nuclear Engineering
File(s)
Thumbnail Image
Name

Dissertation_JohnHirtz_Final.pdf

Size

8.38 MB

Format

Adobe PDF

Checksum (MD5)

0d6599047f1a332deb4c10f15aa3d78e

Thumbnail Image
Name

PhD_Thesis_2025_TRACE.docx

Size

13.99 MB

Format

Microsoft Word XML

Checksum (MD5)

0416845b642745e52fba65f49d1c9838


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