Making nanocomposites from combinations of materials each with their own unique functional advantage can often solve issues that cannot be addressed when utilizing only one type of materials. Therefore, controlling ...

This thesis develops a machine learning framework for predicting crystal structure and applies it to binary metallic alloys. As computational materials science turns a promising eye towards design, routine encounters with ...

The aim of this research was twofold: understanding the methods of patterning magnetic films using self-assembled block copolymer masks and examining the magnetic reversal mechanisms of as deposited and patterned magnetic ...

Thin film rings can be an alternative geometry of magnetic memory cells, in which data bits are stored by the chirality of the flux-closed or 'vortex' state of the ring. The absence of the stray field in the vortex state ...

Many agree that materials availability, especially non-renewable materials, is an issue of global concern. However, the implications and strategy options for manufacturing firms are not obvious. Manufacturers select materials ...

This thesis relates to the emerging field of high-throughput density functional theory (DFT) computation for materials design and optimization. Although highthroughput DFT is a promising new method for materials discovery, ...