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通过添加现实的红细胞计数来增强自适应物理精细化模拟

Sayan Roychowdhury¹, Peter Balogh¹, Samreen T Mahmud¹

¹Duke University, Durham, NC, USA.

International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing)

|December 21, 2023

概括

模拟癌细胞运输需要先进的计算流体动力学. 这项研究引入了一种高效的混合CPU-GPU方法,用于模拟红细胞相互作用和癌细胞运动.

科学领域:

计算流体动力学计算流体动力学
生物医学工程生物医学工程
癌症研究癌症研究

背景情况:

在循环系统中精确建模癌细胞运输至关重要.
模拟需要红细胞 (RBC) 相互作用和大规模流体动态的高保真度.

研究的目的:

开发一种高效的计算方法来模拟癌细胞运输.
为了将详细的红细胞动态与大规模的流体流动结合起来.

主要方法:

使用混合CPU-GPU方法来扩展高级物理精制 (APR) 方法.
将精细分辨的红细胞域与粗分辨的大量流体域相结合.
开发了用于界面动态,血红素维护和癌细胞跟踪的算法.

主要成果:

成功模拟了与局部红细胞区域的毫米尺度癌细胞运输.
实现了RBC动态和流体相互作用的准确建模.
与完全解析的模型相比,证明了显著的计算节约.

结论:

先进的APR方法为癌细胞运输模拟提供了高效和准确的方法.
这种方法使得在循环系统内的癌细胞动态能够进行大规模的模拟.
为研究癌症转移和治疗策略提供了一个计算可行的工具.

关键词:

癌细胞癌细胞癌细胞计算流体动力学的流体动力学.不同质的建筑不同质的建筑.多物理学的多物理.多尺度建模模型的使用.红细胞是血液中的红细胞.

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