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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:Paper\n\nSayan Roychowdhury, Samreen T. Mahmud, Aristotle Mart
 in, Peter Balogh, and Daniel F. Puleri (Duke University); John Gounley (Oa
 k Ridge National Laboratory (ORNL)); Erik W. Draeger (Lawrence Livermore N
 ational Laboratory (LLNL)); and Amanda Randles (Duke University)\n\nSimula
 tions of cancer cell transport require accurately modeling mm-scale and lo
 nger trajectories through a circulatory system containing trillions of def
 ormable red blood cells, whose intercellular interactions require submicro
 n fidelity. Using a hybrid CPU-GPU approach, we extend the advanced physic
 s refinement (APR) method to couple a finely-resolved region of explicitly
 -modeled red blood cells to a coarsely-resolved bulk fluid domain. We furt
 her develop algorithms that: capture the dynamics at the interface of diff
 ering viscosities, maintain hematocrit within the cell-filled volume, and 
 move the finely-resolved region and encapsulated cells while tracking an i
 ndividual cancer cell. Comparison to a fully-resolved fluid-structure inte
 raction model is presented for validation. Finally, we use the advanced AP
 R method to simulate cancer cell transport over a mm-scale distance while 
 maintaining a local region of RBCs, using a fraction of the computational 
 power required to run a fully-resolved model.\n\nTag: Applications, Modeli
 ng and Simulation\n\nRegistration Category: Tech Program Reg Pass\n\nSessi
 on Chair: Hoon Ryu (KISTI)
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