Extreme-Scale In-Situ Visualization and Analysis of Fluid-Structure-Interaction Simulations

PI Amanda Randles, Duke University and Oak Ridge National Laboratory
Randles Aurora ESP

Capturing flow in the human aorta requires high-resolution fluid models. In this case, the wireframe boxes indicate each computational bounding box describing the work assigned to an individual task. Image: Liam Krauss, Lawrence Livermore National Laboratory.

Project Description

This project advances the use of data science to drive analysis of extreme-scale fluid-structure-interaction simulations so as to develop our understanding of the role biological parameters play in determining tumor cell trajectory in the circulatory system. A cellular-level model of systemic-scale flow represents a critical step towards elucidating the mechanisms driving cancer metastasis.

Project Type