The increasing demand for artificial intelligence and data-intensive computing calls for information technologies that are faster, more energy-efficient, and sustainable. My research explores how the dynamics of electron spins in magnetic materials can provide new approaches to information processing beyond conventional semiconductor electronics.
I investigate nonlinear spin dynamics in magnetic materials, focusing on electrically controlling spin waves (magnons) through spin–orbit torque and their interactions with other excitations, such as surface acoustic waves. These nonlinear phenomena reveal new ways to manipulate magnetic states and generate complex dynamical behaviours that can be exploited for neuromorphic computing, microwave signal processing, and future spintronic technologies. By combining nanofabrication, high-frequency electrical and optical measurements, and theoretical modelling, I seek to uncover the fundamental mechanisms governing spin dynamics and translate these discoveries into functional device concepts.
This research bridges condensed matter physics, materials science, electrical engineering, and quantum science, fostering interdisciplinary and international collaborations. In the long term, I aim to establish new magnetic platforms for energy-efficient information processing and extend these studies toward quantum magnonics, enabling future quantum information technologies based on coherent spin excitations.