We study systems in which electromagnetic fields and magnetization are central, while spin, strain, heat, motion, polarization, and imaging physics interact across scales.
Many electromagnetic, magnetic, ferroelectric, optical, and memory devices cannot be treated accurately by separating their constituent physics. The lab develops computational frameworks that resolve these interactions while remaining practical for realistic structures and high-performance computing platforms.
Our work spans methods, codes, and device studies—from finite-element micromagnetics and electrodynamics to magnetoelastic coupling, coherent X-ray reconstruction, and neural-network-assisted EEG recognition.
The lab’s current portfolio combines computational methodology with a central focus on electromagnetics, magnetization, and their interactions in specific material and device platforms.
Development of computational methods and codes for electrodynamic, micromagnetic, magnetoelastic, multiferroic, and ferroelectric problems, with emphasis on realistic geometries and tightly coupled material response.
High-performance reconstruction methods for coherent X-ray diffraction imaging, including real-time three-dimensional CXDI and approaches for imaging magnetic textures.
Modeling and analysis of memory and recording technologies, including magnetoresistive and ferroelectric memories as well as perpendicular and heat-assisted magnetic recording.
Study of optical interactions and mechanical strain in magnetic and ferroelectric structures, spin-wave–phonon propagation, and coupling among spin-transfer-torque and spin-orbit-torque oscillators.
Event recognition in electroencephalographic signals using neural networks, with applications to device control and integration with virtual-reality environments.
Projects listed in the lab’s August 2026 research summary.
Electromagnetic field solvers, scattering, and device-scale analysis tightly connected to material response.
High-performance multiphysics modeling with ultra-fast, low-memory, on-the-fly geometry and mesh modification coupled directly to physics solvers.
Coupled spin-wave–phonon propagation and synchronization of spin-torque oscillators.
Permeability and core-loss behavior in soft magnetic materials.
High-performance coherent imaging and reconstruction of magnetic textures.
Real-time event detection and integration of EEG recognition with VR systems.
Computational studies of switching, stability, recording, and coupled electromagnetic-magnetic device response.
The shared presentation includes examples ranging from electromagnetic scattering to granular magnetic materials, spin textures, and magnetoelastic synchronization.
Complex electromagnetic scattering provides a complementary core to the lab’s micromagnetic and multiphysics work.
An embedded version of the uploaded screen recording demonstrates dynamic inspection of a computed structure.