Fellows

Yixuan (Cassie) Song

Yixuan (Cassie) Song is a PhD candidate in materials science and engineering who is investigating novel phenomena enabled by special magnetic materials, termed ferrimagnets, in which the magnetism of neighboring atoms differs in strength and points in opposite directions. Supported by a MathWorks Fellowship, Cassie will pursue research to better understand this unique property, which promises a much more effective method for developing devices that perform data storage and other spintronics phenomena. Cassie has developed an algorithm for a macrospin model to simulate the magnetization reversal process in systems with complex anisotropy landscapes. Other important areas of inquiry in her research are the magnetic dynamics in the frequency range of GHz to THz, which may have important implications for future technologies, and demagnetization fields in magnetic materials that exhibit asymmetric shapes, such as thin films and cylinders. Using MATLAB to conduct the finite element analysis plays a central role in Cassie’s work. Her research has the potential to deliver important new knowledge and design approaches to advance the field of spintronics and terahertz materials science.

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