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DTSTART;TZID=America/Denver:20231115T110000
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UID:submissions.supercomputing.org_SC23_sess176_pap573@linklings.com
SUMMARY:Enhancing Adaptive Physics Refinement Simulations through the Addi
 tion of Realistic Red Blood Cell Counts
DESCRIPTION:Sayan Roychowdhury, Samreen T. Mahmud, Aristotle Martin, Peter
  Balogh, and Daniel F. Puleri (Duke University); John Gounley (Oak Ridge N
 ational Laboratory (ORNL)); Erik W. Draeger (Lawrence Livermore National L
 aboratory (LLNL)); and Amanda Randles (Duke University)\n\nSimulations of 
 cancer cell transport require accurately modeling mm-scale and longer traj
 ectories through a circulatory system containing trillions of deformable r
 ed blood cells, whose intercellular interactions require submicron fidelit
 y. Using a hybrid CPU-GPU approach, we extend the advanced physics refinem
 ent (APR) method to couple a finely-resolved region of explicitly-modeled 
 red blood cells to a coarsely-resolved bulk fluid domain. We further devel
 op algorithms that: capture the dynamics at the interface of differing vis
 cosities, maintain hematocrit within the cell-filled volume, and move the 
 finely-resolved region and encapsulated cells while tracking an individual
  cancer cell. Comparison to a fully-resolved fluid-structure interaction m
 odel is presented for validation. Finally, we use the advanced APR method 
 to simulate cancer cell transport over a mm-scale distance while maintaini
 ng a local region of RBCs, using a fraction of the computational power req
 uired to run a fully-resolved model.\n\nTag: Applications, Modeling and Si
 mulation\n\nRegistration Category: Tech Program Reg Pass\n\nReproducibilit
 y Badges: Artifact Available, Artifact Functional\n\nSession Chair: Hoon R
 yu (KISTI)\n\n
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