- Simulations of cancer cell transport require accurately modeling mm-scale and longer trajectories through a circulatory system containing trillions of deformable red blood cells, whose intercellular interactions require submicron fidelity. Using a hybrid CPU-GPU approach, we extend the advanced physics refinement (APR) method to couple a finely-resolved region of explicitly-modeled red blood cells to a coarsely-resolved bulk fluid domain. We further develop algorithms that: capture the dynamics at the interface of differing viscosities, 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 model is presented for validation. Finally, we use ... [Read More]
- Total Size
- 30 files (110 GB)
- Data Citation
- Roychowdhury, S., Mahmud, S. T., Martin, A., Balogh, P., Puleri, D. F., Gounley, J., Draeger, E. W., & Randles, A. (2023). Data from: Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts. Duke Research Data Repository. https://doi.org/10.7924/r42233d04
- Creator
- DOI
- 10.7924/r42233d04
- Subject
- Publication Date
- April 26, 2023
- ARK
- ark:/87924/r42233d04
- Publisher
- Type
- Contact
- Sayan Roychowdhury: sayan.roychowdhury@duke.edu
- Title
- Data from: Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts
- Repository
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README.txt | 2023-05-01 | Download | |
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cerebral | 2023-05-01 | ||
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ctctrajectory | 2023-05-01 | ||
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hctvisctests | 2023-05-01 | ||
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scaling | 2023-05-01 | ||
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shearflow | 2023-05-01 | ||
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upperbody_efsi | 2023-05-01 | ||
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upperbody_apr | 2023-05-01 |