Department of Physics
Faculty Advisor: Professor Xiaodong Xu
The growing demand for faster and more efficient data processing and storage has driven the search for alternatives to traditional charge-based electronics. One promising option is spin wave, which is the collective disturbances of aligned spins in magnetic materials. These waves can transmit information with high fidelity over long distances without moving electric charge, significantly reducing energy loss due to heating and lowering power consumption in devices. My research focuses on observing and enhancing the so-called “nonlinear” in spin waves. By gaining precise control over these nonlinear interactions—similar to how we control diodes and transistors in traditional electronics—we can unlock the full potential of spin waves for a new generation of ultra-efficient data processing and storage technologies. This would help reduce the energy footprint of our digital infrastructure and accelerate the transition to a more sustainable technological future.