The Granular Micromechanics Approach develops microstructure-based theories and computational models that connect grain-scale mechanics to the emergent response of granular materials and architected particulate systems.

Numerical Methods and Advanced Computing integrates computational mechanics, particle-scale modeling, high-performance computing, and AI-driven frameworks to enable efficient, high-fidelity simulation of granular systems and enhance predictive capabilities.

This effort establishes transformative approaches for systematically understanding how particle geometry governs macroscopic material behavior in ways that have not previously been achieved, even conceptually, in granular material characterization.