Adaptive Magnetic Metamaterials Lab
The Adaptive Magnetic Metamaterials Lab is dedicated to advancing the fundamental science and engineering of magnetic metamaterials and adaptive magnetic systems for the next generation of science and technology. Our research integrates insights into the behavior of many-body frustrated systems with the development of responsive magnetic systems, offering potential for energy-efficient computing, novel memory architectures, and reconfigurable devices. This unique approach positions our lab at the forefront of creating materials that bridge the gap between fundamental science and transformative technological applications.
If this sounds interesting to you, please feel free to reach out! We welcome curious, professional, and self-motivated undergraduates who want to be part of a collaborative and driven research group. Don't worry about your level of physics knowledge - we will teach you everything you need to know!
Likewise, if you're interested in a Physics minor or Applied Physics double major, I'd be happy to chat about what a physics degree can offer you.
Magnetic Metamaterials
We focus on creating and studying highly engineered magnetic metamaterials—structures designed to exhibit tailored responses beyond those found in natural materials. These systems, such as artificial spin ice, allow us to probe complex physical phenomena, from collective magnetic excitations (magnons) to dynamic phase transitions driven by external stimuli, as well as principles of entropy, order, and ergodicity. By examining these emergent behaviors, we aim to uncover new insights into collective magnetic phenomena and the fundamental science governing order and disorder in nanoscale systems.
Adaptive Magnetic Systems
In our work on adaptive magnetic systems, we investigate materials that respond dynamically to external influences, such as electric fields or ionic conduction (including magneto-ionics and iontronics). This adaptive approach enables us to create materials with tunable properties, laying the groundwork for energy-efficient computing, reconfigurable devices, and neuromorphic architectures. By exploring the boundaries of material adaptability, we connect fundamental discoveries with innovative applications in computing and information storage.