Research Themes

Our group investigates the interplay between magnetism, solid-state ionics, and brain-inspired computing, positioning ourselves at the forefront of both fundamental and applied physics. We draw on concepts from various fields, including materials science, chemistry, electrical engineering, and computer science.

Our work spans multiple scales and disciplines, combining principles from quantum mechanics, statistical physics, and solid-state physics to establish a foundation for adaptive, energy-efficient technologies. From fine-tuning spin interactions in engineered lattices to using ionic control to reshape magnetic properties, our research links fundamental discoveries with the design of materials that respond intelligently to changing environments.

Artificial Spin Ice

We investigate engineered magnetic structures that mimic the properties of natural spin ices. By designing these materials at the nanoscale, we study emergent phenomena and magnetic frustration, paving the way for novel magnetic devices and applications.

Magnonics

This theme focuses on the generation, manipulation, and detection of spin waves (magnons) in magnetic materials. Our work aims to harness these excitations for energy-efficient information processing, with potential applications in next-generation computing and data storage.

Magneto-ionics

We explore the dynamic control of magnetic properties through ionic motion in advanced materials. By leveraging the reversible movement of ions, we seek to develop tunable magnetic devices that offer enhanced functionality for memory and sensing technologies.

Neuromorphic Computing

Inspired by the architecture and functionality of the human brain, we study innovative computing paradigms that utilize brain-like structures and processes. Our research aims to create energy-efficient hardware that enhances machine learning and cognitive computing capabilities.