Abstract by Daniel McPherson

Personal Infomation

Presenter's Name

Daniel McPherson

Degree Level


Abstract Infomation


Physics and Astronomy

Faculty Advisor

Karine Chesnel


Computational Analysis of Magnetite Nanoparticles


Magnetic nanoparticles have a wide range of applications, from the engineering to medical field. Understanding the properties of assemblies of magnetic nanoparticles provides an insight that will greatly enhance the effectiveness of their use. My current project focuses on understanding dynamics of magnetic fluctuations in magnetite (Fe3O4) nanoparticles. The method of study is using advanced x-ray source facilities to collect the magnetic scattering signal caused by assemblies of magnetite nanoparticles. A certain amount of data refinement is necessary to isolate the coherent x -ray scattering signal, also known as magnetic speckle. Upon isolation of coherent signal, the speckle patterns are cross-correlated in order to study the magnetic fluctuation dynamics. We study the dynamics of fluctuation at various temperatures throughout the superparamagnetic blocking transition.