Yixuan (Cassie) Song

Yixuan (Cassie) Song is a graduate student in materials science and engineering, investigating the magnetic dynamics of ferrimagnetic insulators—complex materials with tunable spin configurations that could enable advances in spintronic and terahertz technologies. Her research focuses on the fundamental behavior of spin textures and auto-oscillations to design nanoscale devices that leverage engineered anisotropy and current-induced magnetization switching. Now in her second year as a MathWorks Fellow, Cassie will continue developing macrospin models and finite element simulations to predict magnetic behavior in thin films under varying conditions. MATLAB remains central to her approach: she uses the Optimization Toolbox to fit experimental data, the Partial Differential Equation Toolbox to simulate magnetization trajectories, and custom scripts to model anisotropy landscapes and demagnetization fields. Her work could pave the way for energy-efficient memory devices, high-frequency signal generation, and spin-based logic, highlighting the role of advanced modeling in accelerating discovery across complex material systems.