High Performance Computing

Explicitly resolving ligand–receptor interactions of circulating tumor cells (CTCs) across anatomically realistic vasculature remains computationally prohibitive at the submicrometer fidelity required for adhesive dynamics. In this work, we extend our previously introduced hybrid CPU–GPU adaptive physics refinement (APR) and single-window adaptive physics refinement adhesive dynamics (APR-AD) methods (Martin et al., 2025) into a scalable, high-throughput…

Geometric classifications of 3D pores are useful for studying relationships between pore geometry and function in granular materials. Pores are typically characterized by size, but size alone cannot explain 3D phenomena like transport. Here, we implement a K-nearest neighbor (KNN)-based pore classification approach emphasizing shape-related properties. We find that pore types produced in randomly packed…

BACKGROUND AND PURPOSE: Intracranial aneurysms treated with endovascular embolization often require surveillance imaging using digital subtraction angiography, an invasive, risky, and expensive procedure. Existing non-invasive imaging modalities (standard computed tomography [CT] or magnetic resonance [MR] angiography) are often unsatisfactory for evaluating treated aneurysm due to artifacts from embolization devices. The objective of the present study was…