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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
In the classical literature of Statistics, a large amount of methods have been addressed for data analysis on Euclidean space. Over the past few decades, however, a growing interest has been devoted to non-Euclidean data analysis. In...
Conductive materials are indispensable for almost all aspects of life. However, conventional metal conductors have some drawbacks including heavy weight and corrosion issues. Carbon nanotubes (CNTs) are promising as an alternative...
In transition metal oxides, such as A2B2O7, the B-site cations typically govern many of the fundamentally and technologically interesting properties. The cubic pyrochlore oxides, A2B2O7, have attracted much attention over the past 20...
A major challenge to the study of the structure-property relationship of carbon nanotube (CNT) networks is to characterize the complex nanostructure with complicated nanoscale contacts and pore structures. An image-based characterization...
Filter or screening methods are often used as a preprocessing step for reducing the number of variables used by a learning algorithm in obtaining a classification or regression model.While there are many such filter methods, there is a...
Carbon nanotubes (CNTs) possess extraordinary electrical properties including conductivity that is comparable to metals and breakdown current density that is orders of magnitude higher than copper. In order to take advantage of the...
The Weyl semimetal requires the breaking of either the time-reversal symmetry (TRS) or the lattice inversion symmetry. When the TRS and inversion symmetry coexist, a pair of degenerate Weyl points may exist, leading to the related Dirac...
Light-matter interactions have not only enhanced our fundamental understanding of the universe but also plays a significant role in the advancement of technology. Scientific research in this area has led to breakthroughs in materials...
Understanding the Structure-Property Correlations in Fast-Ion Conductors and Ferroelectric Materials via Combined Magnetic Resonance and Computational Studies
Short-range structural ordering is critical to functional properties such as ion migration and ferroelectricity. The discovery and development of high-performance functional materials rely on advanced characterization tools and...
Investigating Significant Mutations of US SARS-CoV-2 RNA Sequences Using Stratified Spaces, and Genetic Connection to Drug-Induced Liver Injury (DILI) through Statistical Learning Methods
The first half of this dissertation aims to give a motivation for working with metric tree data. We give a brief introduction and application of data analysis on stratified spaces with special emphasis on phylogenetic tree data analysis....
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