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Filtering by: Creator Remcho, Vincent T. Degree Level Doctoral License Attribution-ShareAlike 4.0 (CC BY-SA 4.0)

High Temperature Electrical Properties of Ceria-Based Ceramics for Use as Electrodes in Magnetohydrodynamic Power Generators

Creator:

Bowen, Michael S.

Abstract:

Determining the electrical properties of ceria-based materials is important for their use as electrodes in hot-wall magnetohydrodynamic (MHD) power generators with wall temperatures greater than 1500 ̊C. The electrical conductivity of a material can be used in models for predicting the performance of generator designs. More specifically, the temperature dependent...

Resource Type:

Dissertation

Full Text:

5: • Olivia Remcho – sample fabrication • Ian J. Hofbeck – x-ray diffraction characterization
Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:

Wei, Qi

Abstract:

Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...

Resource Type:

Dissertation

Full Text:

- ing tumor response to chemotherapy. For each tumor t, the en- coder’s input vector xt contains the