Cloud computing resources are becoming an increasingly attractive option for simulation workflows but require users to assess a wider variety of hardware options and associated costs than required by traditional in-house hardware or fixed allocations at leadership computing facilities. The pay-as-you-go model used by cloud providers gives users the opportunity to make more nuanced cost-benefit…
In this episode of Pratt School of Engineering’s Dean’s Minutes, Dean Lynch and Professor Amanda Randles talk about how digital twins — advanced, personalized computational models of a patient’s body — could help save lives.
Researchers at Duke are focused on understanding how 2-meter-long DNA is organized within a micron-size cell nucleus.
Researchers in the group led by Professor Amanda Randles developed HARVEY—a massively parallel CFD code capable of resolving patient-derived blood flow at cellular resolutions in complex vascular geometries.
Computational model allows researchers to simulate cellular-scale interactions across unprecedented distances in the human vasculature.
Sayan Roychowdhury presented at the SC23 conference on the research paper “Enhancing Adaptive Physics Refinement Simulations through the Addition of Realistic Red Blood Cell Counts.”
As part of an Aurora Early Science Program project, Amanda Randles and her research team will use advanced modeling to identify likely sites for metastasis.
Researchers at Lawrence Livermore National Laboratory and Duke University combined 3D bioprinting and computational flow models to analyze the physics behind circulating tumor cell behavior and the cells’ attachment to the vascular endothelium, the layer of cells that line the interior surface of blood vessels.