“Topological Magnetism using Electron Imaging”, Asst. Prof. Kayla Nguyen, Physics
Electrons microscopy has been a ubiquitous technique for imaging, where the smallest particle – the atom – can be visualized. The interactions between structure and magnetism at the atomic scale sets off the interplay between these two important properties of matter, whose investigation is necessary to understand the overall macroscopic nature of magnetic materials. We seek to push our understanding of magnetism at the atomic length scales, whose characteristics determine their performance as devices and tools for future spintronics and quantum-computing applications. Our group focuses on developing new electron microscopy techniques for condensed matter systems to investigate new physics in emergent topological, quantum materials.
Our REU student will learn and run simulation electron scattering algorithms and then use these codes to develop training models for our AI/ML approach to reconstruct better quality images than the current leading software. Students will learn how to program on Talapas, UO’s in-house high-performance computer cluster, and also using advanced electron microscopy computing software. Our student will also modify and augment current codes to incorporate spin physics of these systems and perform analytical checks on their results using simple physics models.