Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics DOI Creative Commons

Sahil Kulkarni,

Benjamin Lin, Ravi Radhakrishnan

et al.

Computers & Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 109081 - 109081

Published: March 1, 2025

Language: Английский

A tracking algorithm for finite-size particles DOI
Aryan Mehboudi,

Shrawan Singhal,

S. V. Sreenivasan

et al.

Biomicrofluidics, Journal Year: 2025, Volume and Issue: 19(3)

Published: May 1, 2025

Particle-wall interaction is important in various applications such as cell sorting, particle separation, the entire class of hydrodynamic filtration and its derivatives, etc. Yet, accurate implementation interactions between wall finite-size particles not trivial when working with currently available tracking algorithms/packages they typically work point-wise particles. Herein, we report a algorithm that takes into account finite size nearby solid objects. A modeled set circumferential points. While fluid-particle are captured during track center, objects explicitly by examining points applying reflection scheme needed to ensure impenetrability We also modified variant auxiliary structured grid method locate hosting cells, which conjunction boundary condition enables capture As proof-of-concept, numerically experimentally study particles' motion within deterministic lateral displacement microfluidic device. The results successfully demonstrate zigzag bump modes observed our experiments. device pinched flow validate against experimental data from literature. By demonstrating an almost 8 × speedup on system eight performance threads, investigations suggest can benefit parallel processing multi-thread systems. believe proposed framework pave way for designing related chips precisely conveniently.

Language: Английский

Citations

1

Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics DOI Creative Commons

Sahil Kulkarni,

Benjamin Lin, Ravi Radhakrishnan

et al.

Computers & Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 109081 - 109081

Published: March 1, 2025

Language: Английский

Citations

0