My research integrates three-dimensional experiments, computational mechanics, and artificial intelligence to observe, explain, predict, and design the behavior of complex particulate systems.
In situ mechanical testing and X-ray microtomography are combined to observe particle rearrangement, rotation, breakage, and pore evolution inside complex granular geomaterials.
Vision foundation models and physics-informed algorithms are developed for robust particle segmentation, reconstruction, tracking, and breakage analysis.
Realistic particle geometries are transferred from imaging into DEM and LS-DEM models to connect particle morphology with multiscale mechanical behavior.
Physics-aware learning and high-fidelity simulation are integrated to create predictive and design-oriented digital twins for granular and architected materials.
